adapt to new edge format

(cherry picked from commit 176de521b4)

.conda/base/recipe.yaml

@@ -0,0 +1,60 @@
+# unilabos: Production package (depends on unilabos-env + pip unilabos)
+# For production deployment
+
+package:
+  name: unilabos
+  version: 0.10.17
+
+source:
+  path: ../../unilabos
+  target_directory: unilabos
+
+build:
+  python:
+    entry_points:
+    - unilab = unilabos.app.main:main
+  script:
+  - set PIP_NO_INDEX=
+  - if: win
+    then:
+    - copy %RECIPE_DIR%\..\..\MANIFEST.in %SRC_DIR%
+    - copy %RECIPE_DIR%\..\..\setup.cfg %SRC_DIR%
+    - copy %RECIPE_DIR%\..\..\setup.py %SRC_DIR%
+    - pip install %SRC_DIR%
+  - if: unix
+    then:
+    - cp $RECIPE_DIR/../../MANIFEST.in $SRC_DIR
+    - cp $RECIPE_DIR/../../setup.cfg $SRC_DIR
+    - cp $RECIPE_DIR/../../setup.py $SRC_DIR
+    - pip install $SRC_DIR
+
+requirements:
+  host:
+  - python ==3.11.14
+  - pip
+  - setuptools
+  - zstd
+  - zstandard
+  run:
+  - zstd
+  - zstandard
+  - networkx
+  - typing_extensions
+  - websockets
+  - pint
+  - fastapi
+  - jinja2
+  - requests
+  - uvicorn
+  - opcua # [not osx]
+  - pyserial
+  - pandas
+  - pymodbus
+  - matplotlib
+  - pylibftdi
+  - uni-lab::unilabos-env ==0.10.17
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS - Production package with minimal ROS2 dependencies"

.conda/environment/recipe.yaml

@@ -0,0 +1,39 @@
+# unilabos-env: conda environment dependencies (ROS2 + conda packages)
+
+package:
+  name: unilabos-env
+  version: 0.10.17
+
+build:
+  noarch: generic
+
+requirements:
+  run:
+  # Python
+  - zstd
+  - zstandard
+  - conda-forge::python ==3.11.14
+  - conda-forge::opencv
+  # ROS2 dependencies (from ci-check.yml)
+  - robostack-staging::ros-humble-ros-core
+  - robostack-staging::ros-humble-action-msgs
+  - robostack-staging::ros-humble-std-msgs
+  - robostack-staging::ros-humble-geometry-msgs
+  - robostack-staging::ros-humble-control-msgs
+  - robostack-staging::ros-humble-nav2-msgs
+  - robostack-staging::ros-humble-cv-bridge
+  - robostack-staging::ros-humble-vision-opencv
+  - robostack-staging::ros-humble-tf-transformations
+  - robostack-staging::ros-humble-moveit-msgs
+  - robostack-staging::ros-humble-tf2-ros
+  - robostack-staging::ros-humble-tf2-ros-py
+  - conda-forge::transforms3d
+  - conda-forge::uv
+
+  # UniLabOS custom messages
+  - uni-lab::ros-humble-unilabos-msgs
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS Environment - ROS2 and conda dependencies"

.conda/full/recipe.yaml

@@ -0,0 +1,42 @@
+# unilabos-full: Full package with all features
+# Depends on unilabos + complete ROS2 desktop + dev tools
+
+package:
+  name: unilabos-full
+  version: 0.10.17
+
+build:
+  noarch: generic
+
+requirements:
+  run:
+  # Base unilabos package (includes unilabos-env)
+  - uni-lab::unilabos ==0.10.17
+  # Documentation tools
+  - sphinx
+  - sphinx_rtd_theme
+  # Web UI
+  - gradio
+  - flask
+  # Interactive development
+  - ipython
+  - jupyter
+  - jupyros
+  - colcon-common-extensions
+  # ROS2 full desktop (includes rviz2, gazebo, etc.)
+  - robostack-staging::ros-humble-desktop-full
+  # Navigation and motion control
+  - ros-humble-navigation2
+  - ros-humble-ros2-control
+  - ros-humble-robot-state-publisher
+  - ros-humble-joint-state-publisher
+  # MoveIt motion planning
+  - ros-humble-moveit
+  - ros-humble-moveit-servo
+  # Simulation
+  - ros-humble-simulation
+
+about:
+  repository: https://github.com/deepmodeling/Uni-Lab-OS
+  license: GPL-3.0-only
+  description: "UniLabOS Full - Complete package with ROS2 Desktop, MoveIt, Navigation2, Gazebo, Jupyter"

.conda/recipe.yaml

@@ -1,91 +0,0 @@
-package:
-  name: unilabos
-  version: 0.10.15
-
-source:
-  path: ../unilabos
-  target_directory: unilabos
-
-build:
-  python:
-    entry_points:
-    - unilab = unilabos.app.main:main
-  script:
-  - set PIP_NO_INDEX=
-  - if: win
-    then:
-    - copy %RECIPE_DIR%\..\MANIFEST.in %SRC_DIR%
-    - copy %RECIPE_DIR%\..\setup.cfg %SRC_DIR%
-    - copy %RECIPE_DIR%\..\setup.py %SRC_DIR%
-    - call %PYTHON% -m pip install %SRC_DIR%
-  - if: unix
-    then:
-    - cp $RECIPE_DIR/../MANIFEST.in $SRC_DIR
-    - cp $RECIPE_DIR/../setup.cfg $SRC_DIR
-    - cp $RECIPE_DIR/../setup.py $SRC_DIR
-    - $PYTHON -m pip install $SRC_DIR
-
-requirements:
-  host:
-  - python ==3.11.11
-  - pip
-  - setuptools
-  - zstd
-  - zstandard
-  run:
-  - conda-forge::python ==3.11.11
-  - compilers
-  - cmake
-  - zstd
-  - zstandard
-  - ninja
-  - if: unix
-    then:
-    - make
-  - sphinx
-  - sphinx_rtd_theme
-  - numpy
-  - scipy
-  - pandas
-  - networkx
-  - matplotlib
-  - pint
-  - pyserial
-  - pyusb
-  - pylibftdi
-  - pymodbus
-  - python-can
-  - pyvisa
-  - opencv
-  - pydantic
-  - fastapi
-  - uvicorn
-  - gradio
-  - flask
-  - websockets
-  - ipython
-  - jupyter
-  - jupyros
-  - colcon-common-extensions
-  - robostack-staging::ros-humble-desktop-full
-  - robostack-staging::ros-humble-control-msgs
-  - robostack-staging::ros-humble-sensor-msgs
-  - robostack-staging::ros-humble-trajectory-msgs
-  - ros-humble-navigation2
-  - ros-humble-ros2-control
-  - ros-humble-robot-state-publisher
-  - ros-humble-joint-state-publisher
-  - ros-humble-rosbridge-server
-  - ros-humble-cv-bridge
-  - ros-humble-tf2
-  - ros-humble-moveit
-  - ros-humble-moveit-servo
-  - ros-humble-simulation
-  - ros-humble-tf-transformations
-  - transforms3d
-  - uni-lab::ros-humble-unilabos-msgs
-
-about:
-  repository: https://github.com/deepmodeling/Uni-Lab-OS
-  license: GPL-3.0-only
-  description: "Uni-Lab-OS"

.github/workflows/ci-check.yml

@@ -8,14 +8,19 @@ on:
 
 jobs:
   registry-check:
-    runs-on: ubuntu-latest
+    runs-on: windows-latest
+
+    env:
+      # Fix Unicode encoding issue on Windows runner (cp1252 -> utf-8)
+      PYTHONIOENCODING: utf-8
+      PYTHONUTF8: 1
 
     defaults:
       run:
-        shell: bash -l {0}
+        shell: cmd
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
           fetch-depth: 0
 
@@ -27,73 +32,31 @@ jobs:
           channels: robostack-staging,conda-forge,uni-lab
           channel-priority: flexible
           activate-environment: check-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
-      - name: Install ROS dependencies and unilabos-msgs
+      - name: Install ROS dependencies, uv and unilabos-msgs
         run: |
-          # Install all packages together for proper dependency resolution
-          # Use mamba for faster and more reliable solving
-          mamba install -n check-env \
-            python=3.11.14 \
-            robostack-staging::ros-humble-ros-core \
-            robostack-staging::ros-humble-action-msgs \
-            robostack-staging::ros-humble-std-msgs \
-            robostack-staging::ros-humble-geometry-msgs \
-            robostack-staging::ros-humble-control-msgs \
-            robostack-staging::ros-humble-nav2-msgs \
-            uni-lab::ros-humble-unilabos-msgs \
-            robostack-staging::ros-humble-cv-bridge \
-            robostack-staging::ros-humble-vision-opencv \
-            robostack-staging::ros-humble-tf-transformations \
-            robostack-staging::ros-humble-moveit-msgs \
-            robostack-staging::ros-humble-tf2-ros \
-            robostack-staging::ros-humble-tf2-ros-py \
-            conda-forge::transforms3d \
-            -c robostack-staging -c conda-forge -c uni-lab -y
+          echo Installing ROS dependencies...
+          mamba install -n check-env conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -c robostack-staging -c conda-forge -c uni-lab -y
 
       - name: Install pip dependencies and unilabos
         run: |
-          # Activate the environment
-          conda activate check-env
-          
-          # Core dependencies for devices
-          pip install uv
-          uv pip install networkx \
-            typing_extensions \
-            websockets \
-            msgcenterpy \
-            opentrons_shared_data \
-            pint \
-            fastapi \
-            jinja2 \
-            requests \
-            uvicorn \
-            git+https://github.com/Xuwznln/pylabrobot.git \
-            opencv-python \
-            pyautogui \
-            opcua \
-            pyserial \
-            pandas \
-            crcmod-plus \
-            pymodbus \
-            pywinauto_recorder \
-            matplotlib \
-
-
-          # PyLabRobot (custom fork)
-          pip install 
-          
-          # Install unilabos in editable mode
-          pip install -e .
+          call conda activate check-env
+          echo Installing pip dependencies...
+          uv pip install -r unilabos/utils/requirements.txt
+          uv pip install pywinauto git+https://github.com/Xuwznln/pylabrobot.git
+          uv pip uninstall enum34 || echo enum34 not installed, skipping
+          uv pip install .
 
       - name: Run check mode (complete_registry)
         run: |
-          conda activate check-env
+          call conda activate check-env
+          echo Running check mode...
           python -m unilabos --check_mode --skip_env_check
 
       - name: Check for uncommitted changes
+        shell: bash
         run: |
           if ! git diff --exit-code; then
             echo "::error::检测到文件变化！请先在本地运行 'python -m unilabos --complete_registry' 并提交变更"

.github/workflows/conda-pack-build.yml

@@ -13,6 +13,11 @@ on:
         required: false
         default: 'win-64'
         type: string
+      build_full:
+        description: '是否构建完整版 unilabos-full (默认构建轻量版 unilabos)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
   build-conda-pack:
@@ -57,7 +62,7 @@ jobs:
             echo "should_build=false" >> $GITHUB_OUTPUT
           fi
 
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         if: steps.should_build.outputs.should_build == 'true'
         with:
           ref: ${{ github.event.inputs.branch }}
@@ -69,7 +74,7 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
+          python-version: '3.11.14'
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: flexible
           activate-environment: unilab
@@ -81,7 +86,14 @@ jobs:
         run: |
           echo Installing unilabos and dependencies to unilab environment...
           echo Using mamba for faster and more reliable dependency resolution...
-          mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          echo Build full: ${{ github.event.inputs.build_full }}
+          if "${{ github.event.inputs.build_full }}"=="true" (
+            echo Installing unilabos-full ^(complete package^)...
+            mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          ) else (
+            echo Installing unilabos ^(minimal package^)...
+            mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          )
 
       - name: Install conda-pack, unilabos and dependencies (Unix)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
@@ -89,7 +101,14 @@ jobs:
         run: |
           echo "Installing unilabos and dependencies to unilab environment..."
           echo "Using mamba for faster and more reliable dependency resolution..."
-          mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          echo "Build full: ${{ github.event.inputs.build_full }}"
+          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+            echo "Installing unilabos-full (complete package)..."
+            mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          else
+            echo "Installing unilabos (minimal package)..."
+            mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
+          fi
 
       - name: Get latest ros-humble-unilabos-msgs version (Windows)
         if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
@@ -293,7 +312,7 @@ jobs:
 
       - name: Upload distribution package
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
           path: dist-package/
@@ -308,7 +327,12 @@ jobs:
           echo ==========================================
           echo Platform: ${{ matrix.platform }}
           echo Branch: ${{ github.event.inputs.branch }}
-          echo Python version: 3.11.11
+          echo Python version: 3.11.14
+          if "${{ github.event.inputs.build_full }}"=="true" (
+            echo Package: unilabos-full ^(complete^)
+          ) else (
+            echo Package: unilabos ^(minimal^)
+          )
           echo.
           echo Distribution package contents:
           dir dist-package
@@ -328,7 +352,12 @@ jobs:
           echo "=========================================="
           echo "Platform: ${{ matrix.platform }}"
           echo "Branch: ${{ github.event.inputs.branch }}"
-          echo "Python version: 3.11.11"
+          echo "Python version: 3.11.14"
+          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+            echo "Package: unilabos-full (complete)"
+          else
+            echo "Package: unilabos (minimal)"
+          fi
           echo ""
           echo "Distribution package contents:"
           ls -lh dist-package/

.github/workflows/deploy-docs.yml

@@ -1,10 +1,12 @@
 name: Deploy Docs
 
 on:
-  push:
-    branches: [main]
-  pull_request:
+  # 在 CI Check 成功后自动触发（仅 main 分支）
+  workflow_run:
+    workflows: ["CI Check"]
+    types: [completed]
     branches: [main]
+  # 手动触发
   workflow_dispatch:
     inputs:
       branch:
@@ -33,12 +35,19 @@ concurrency:
 jobs:
   # Build documentation
   build:
+    # 只在以下情况运行：
+    # 1. workflow_run 触发且 CI Check 成功
+    # 2. 手动触发
+    if: |
+      github.event_name == 'workflow_dispatch' ||
+      (github.event_name == 'workflow_run' && github.event.workflow_run.conclusion == 'success')
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
-          ref: ${{ github.event.inputs.branch || github.ref }}
+          # workflow_run 时使用触发工作流的分支，手动触发时使用输入的分支
+          ref: ${{ github.event.workflow_run.head_branch || github.event.inputs.branch || github.ref }}
           fetch-depth: 0
 
       - name: Setup Miniforge (with mamba)
@@ -46,7 +55,7 @@ jobs:
         with:
           miniforge-version: latest
           use-mamba: true
-          python-version: '3.11.11'
+          python-version: '3.11.14'
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: flexible
           activate-environment: unilab
@@ -75,8 +84,10 @@ jobs:
 
       - name: Setup Pages
         id: pages
-        uses: actions/configure-pages@v4
-        if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+        uses: actions/configure-pages@v5
+        if: |
+          github.event.workflow_run.head_branch == 'main' ||
+          (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
 
       - name: Build Sphinx documentation
         run: |
@@ -94,14 +105,18 @@ jobs:
           test -f docs/_build/html/index.html && echo "✓ index.html exists" || echo "✗ index.html missing"
 
       - name: Upload build artifacts
-        uses: actions/upload-pages-artifact@v3
-        if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+        uses: actions/upload-pages-artifact@v4
+        if: |
+          github.event.workflow_run.head_branch == 'main' ||
+          (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
         with:
           path: docs/_build/html
 
   # Deploy to GitHub Pages
   deploy:
-    if: github.ref == 'refs/heads/main' || (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
+    if: |
+      github.event.workflow_run.head_branch == 'main' ||
+      (github.event_name == 'workflow_dispatch' && github.event.inputs.deploy_to_pages == 'true')
     environment:
       name: github-pages
       url: ${{ steps.deployment.outputs.page_url }}

.github/workflows/multi-platform-build.yml

@@ -1,11 +1,16 @@
 name: Multi-Platform Conda Build
 
 on:
+  # 在 CI Check 工作流完成后触发（仅限 main/dev 分支）
+  workflow_run:
+    workflows: ["CI Check"]
+    types:
+      - completed
+    branches: [main, dev]
+  # 支持 tag 推送（不依赖 CI Check）
   push:
-    branches: [main, dev]
     tags: ['v*']
-  pull_request:
-    branches: [main, dev]
+  # 手动触发
   workflow_dispatch:
     inputs:
       platforms:
@@ -17,9 +22,37 @@ on:
         required: false
         default: false
         type: boolean
+      skip_ci_check:
+        description: '跳过等待 CI Check (手动触发时可选)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
+  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
+  wait-for-ci:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_run'
+    outputs:
+      should_continue: ${{ steps.check.outputs.should_continue }}
+    steps:
+      - name: Check CI status
+        id: check
+        run: |
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+            echo "should_continue=true" >> $GITHUB_OUTPUT
+            echo "CI Check passed, proceeding with build"
+          else
+            echo "should_continue=false" >> $GITHUB_OUTPUT
+            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+          fi
+
   build:
+    needs: [wait-for-ci]
+    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    if: |
+      always() &&
+      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
@@ -44,8 +77,10 @@ jobs:
         shell: bash -l {0}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
+          # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
+          ref: ${{ github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -69,7 +104,6 @@ jobs:
           channels: conda-forge,robostack-staging,defaults
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
@@ -115,7 +149,7 @@ jobs:
 
       - name: Upload conda package artifacts
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: conda-package-${{ matrix.platform }}
           path: conda-packages-temp

.github/workflows/unilabos-conda-build.yml

@@ -1,25 +1,62 @@
 name: UniLabOS Conda Build
 
 on:
+  # 在 CI Check 成功后自动触发
+  workflow_run:
+    workflows: ["CI Check"]
+    types: [completed]
+    branches: [main, dev]
+  # 标签推送时直接触发（发布版本）
   push:
-    branches: [main, dev]
     tags: ['v*']
-  pull_request:
-    branches: [main, dev]
+  # 手动触发
   workflow_dispatch:
     inputs:
       platforms:
         description: '选择构建平台 (逗号分隔): linux-64, osx-64, osx-arm64, win-64'
         required: false
         default: 'linux-64'
+      build_full:
+        description: '是否构建 unilabos-full 完整包 (默认只构建 unilabos 基础包)'
+        required: false
+        default: false
+        type: boolean
       upload_to_anaconda:
         description: '是否上传到Anaconda.org'
         required: false
         default: false
         type: boolean
+      skip_ci_check:
+        description: '跳过等待 CI Check (手动触发时可选)'
+        required: false
+        default: false
+        type: boolean
 
 jobs:
+  # 等待 CI Check 完成的 job (仅用于 workflow_run 触发)
+  wait-for-ci:
+    runs-on: ubuntu-latest
+    if: github.event_name == 'workflow_run'
+    outputs:
+      should_continue: ${{ steps.check.outputs.should_continue }}
+    steps:
+      - name: Check CI status
+        id: check
+        run: |
+          if [[ "${{ github.event.workflow_run.conclusion }}" == "success" ]]; then
+            echo "should_continue=true" >> $GITHUB_OUTPUT
+            echo "CI Check passed, proceeding with build"
+          else
+            echo "should_continue=false" >> $GITHUB_OUTPUT
+            echo "CI Check did not succeed (status: ${{ github.event.workflow_run.conclusion }}), skipping build"
+          fi
+
   build:
+    needs: [wait-for-ci]
+    # 运行条件：workflow_run 触发且 CI 成功，或者其他触发方式
+    if: |
+      always() &&
+      (needs.wait-for-ci.result == 'skipped' || needs.wait-for-ci.outputs.should_continue == 'true')
     strategy:
       fail-fast: false
       matrix:
@@ -40,8 +77,10 @@ jobs:
         shell: bash -l {0}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
+          # 如果是 workflow_run 触发，使用触发 CI Check 的 commit
+          ref: ${{ github.event.workflow_run.head_sha || github.ref }}
           fetch-depth: 0
 
       - name: Check if platform should be built
@@ -65,7 +104,6 @@ jobs:
           channels: conda-forge,robostack-staging,uni-lab,defaults
           channel-priority: strict
           activate-environment: build-env
-          auto-activate-base: false
           auto-update-conda: false
           show-channel-urls: true
 
@@ -81,12 +119,61 @@ jobs:
           conda list | grep -E "(rattler-build|anaconda-client)"
           echo "Platform: ${{ matrix.platform }}"
           echo "OS: ${{ matrix.os }}"
-          echo "Building UniLabOS package"
+          echo "Build full package: ${{ github.event.inputs.build_full || 'false' }}"
+          echo "Building packages:"
+          echo "  - unilabos-env (environment dependencies)"
+          echo "  - unilabos (with pip package)"
+          if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
+            echo "  - unilabos-full (complete package)"
+          fi
 
-      - name: Build conda package
+      - name: Build unilabos-env (conda environment only, noarch)
         if: steps.should_build.outputs.should_build == 'true'
         run: |
-          rattler-build build -r .conda/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
+          echo "Building unilabos-env (conda environment dependencies)..."
+          rattler-build build -r .conda/environment/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge
+
+      - name: Upload unilabos-env to Anaconda.org (if enabled)
+        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        run: |
+          echo "Uploading unilabos-env to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-env*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          done
+
+      - name: Build unilabos (with pip package)
+        if: steps.should_build.outputs.should_build == 'true'
+        run: |
+          echo "Building unilabos package..."
+          # 如果已上传到 Anaconda，从 uni-lab channel 获取 unilabos-env；否则从本地 output 获取
+          rattler-build build -r .conda/base/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+
+      - name: Upload unilabos to Anaconda.org (if enabled)
+        if: steps.should_build.outputs.should_build == 'true' && github.event.inputs.upload_to_anaconda == 'true'
+        run: |
+          echo "Uploading unilabos to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-0*.conda" -o -name "unilabos-[0-9]*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          done
+
+      - name: Build unilabos-full - Only when explicitly requested
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          github.event.inputs.build_full == 'true'
+        run: |
+          echo "Building unilabos-full package on ${{ matrix.platform }}..."
+          rattler-build build -r .conda/full/recipe.yaml -c uni-lab -c robostack-staging -c conda-forge --channel ./output
+
+      - name: Upload unilabos-full to Anaconda.org (if enabled)
+        if: |
+          steps.should_build.outputs.should_build == 'true' && 
+          github.event.inputs.build_full == 'true' &&
+          github.event.inputs.upload_to_anaconda == 'true'
+        run: |
+          echo "Uploading unilabos-full to uni-lab organization..."
+          for package in $(find ./output -name "unilabos-full*.conda"); do
+            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
+          done
 
       - name: List built packages
         if: steps.should_build.outputs.should_build == 'true'
@@ -108,17 +195,9 @@ jobs:
 
       - name: Upload conda package artifacts
         if: steps.should_build.outputs.should_build == 'true'
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v6
         with:
           name: conda-package-unilabos-${{ matrix.platform }}
           path: conda-packages-temp
           if-no-files-found: warn
           retention-days: 30
-
-      - name: Upload to Anaconda.org (uni-lab organization)
-        if: github.event.inputs.upload_to_anaconda == 'true'
-        run: |
-          for package in $(find ./output -name "*.conda"); do
-            echo "Uploading $package to uni-lab organization..."
-            anaconda -t ${{ secrets.ANACONDA_API_TOKEN }} upload --user uni-lab --force "$package"
-          done

MANIFEST.in

@@ -1,4 +1,5 @@
 recursive-include unilabos/test *
+recursive-include unilabos/utils *
 recursive-include unilabos/registry *.yaml
 recursive-include unilabos/app/web/static *
 recursive-include unilabos/app/web/templates *

README.md

@@ -31,26 +31,46 @@ Detailed documentation can be found at:
 
 ## Quick Start
 
-1. Setup Conda Environment
+### 1. Setup Conda Environment
 
-Uni-Lab-OS recommends using `mamba` for environment management:
+Uni-Lab-OS recommends using `mamba` for environment management. Choose the package that fits your needs:
+
+| Package | Use Case | Contents |
+|---------|----------|----------|
+| `unilabos` | **Recommended for most users** | Complete package, ready to use |
+| `unilabos-env` | Developers (editable install) | Environment only, install unilabos via pip |
+| `unilabos-full` | Simulation/Visualization | unilabos + ROS2 Desktop + Gazebo + MoveIt |
 
 ```bash
 # Create new environment
-mamba create -n unilab python=3.11.11
+mamba create -n unilab python=3.11.14
 mamba activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# Option A: Standard installation (recommended for most users)
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# Option B: For developers (editable mode development)
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# Then install unilabos and dependencies:
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# Option C: Full installation (simulation/visualization)
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
-2. Install Dev Uni-Lab-OS
+**When to use which?**
+- **unilabos**: Standard installation for production deployment and general usage (recommended)
+- **unilabos-env**: For developers who need `pip install -e .` editable mode, modify source code
+- **unilabos-full**: For simulation (Gazebo), visualization (rviz2), and Jupyter notebooks
+
+### 2. Clone Repository (Optional, for developers)
 
 ```bash
-# Clone the repository
+# Clone the repository (only needed for development or examples)
 git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
-
-# Install Uni-Lab-OS
-pip install .
 ```
 
 3. Start Uni-Lab System

README_zh.md

@@ -31,26 +31,46 @@ Uni-Lab-OS 是一个用于实验室自动化的综合平台，旨在连接和控
 
 ## 快速开始
 
-1. 配置 Conda 环境
+### 1. 配置 Conda 环境
 
-Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的操作系统选择适当的环境文件:
+Uni-Lab-OS 建议使用 `mamba` 管理环境。根据您的需求选择合适的安装包：
+
+| 安装包 | 适用场景 | 包含内容 |
+|--------|----------|----------|
+| `unilabos` | **推荐大多数用户** | 完整安装包，开箱即用 |
+| `unilabos-env` | 开发者（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos |
+| `unilabos-full` | 仿真/可视化 | unilabos + ROS2 桌面版 + Gazebo + MoveIt |
 
 ```bash
 # 创建新环境
-mamba create -n unilab python=3.11.11
+mamba create -n unilab python=3.11.14
 mamba activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 A：标准安装（推荐大多数用户）
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# 然后安装 unilabos 和依赖：
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# 方案 C：完整安装（仿真/可视化）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
-2. 安装开发版 Uni-Lab-OS:
+**如何选择？**
+- **unilabos**：标准安装，适用于生产部署和日常使用（推荐）
+- **unilabos-env**：开发者使用，支持 `pip install -e .` 可编辑模式，可修改源代码
+- **unilabos-full**：需要仿真（Gazebo）、可视化（rviz2）或 Jupyter Notebook
+
+### 2. 克隆仓库（可选，供开发者使用）
 
 ```bash
-# 克隆仓库
+# 克隆仓库（仅开发或查看示例时需要）
 git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
-
-# 安装 Uni-Lab-OS
-pip install .
 ```
 
 3. 启动 Uni-Lab 系统

docs/user_guide/best_practice.md

@@ -31,6 +31,14 @@
 
 详细的安装步骤请参考 [安装指南](installation.md)。
 
+**选择合适的安装包：**
+
+| 安装包 | 适用场景 | 包含组件 |
+|--------|----------|----------|
+| `unilabos` | **推荐大多数用户**，生产部署 | 完整安装包，开箱即用 |
+| `unilabos-env` | 开发者（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos |
+| `unilabos-full` | 仿真/可视化 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt |
+
 **关键步骤：**
 
 ```bash
@@ -38,15 +46,30 @@
 # 下载 Miniforge: https://github.com/conda-forge/miniforge/releases
 
 # 2. 创建 Conda 环境
-mamba create -n unilab python=3.11.11
+mamba create -n unilab python=3.11.14
 
 # 3. 激活环境
 mamba activate unilab
 
-# 4. 安装 Uni-Lab-OS
+# 4. 安装 Uni-Lab-OS（选择其一）
+
+# 方案 A：标准安装（推荐大多数用户）
 mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+pip install -e /path/to/Uni-Lab-OS  # 可编辑安装
+uv pip install -r unilabos/utils/requirements.txt  # 安装 pip 依赖
+
+# 方案 C：完整版（仿真/可视化）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
+**选择建议：**
+- **日常使用/生产部署**：使用 `unilabos`（推荐），完整功能，开箱即用
+- **开发者**：使用 `unilabos-env` + `pip install -e .` + `uv pip install -r unilabos/utils/requirements.txt`，代码修改立即生效
+- **仿真/可视化**：使用 `unilabos-full`，含 Gazebo、rviz2、MoveIt
+
 #### 1.2 验证安装
 
 ```bash
@@ -416,6 +439,9 @@ unilab --ak your_ak --sk your_sk -g test/experiments/mock_devices/mock_all.json
 1. 访问 Web 界面，进入"仪器耗材"模块
 2. 在"仪器设备"区域找到并添加上述设备
 3. 在"物料耗材"区域找到并添加容器
+4. 在workstation中配置protocol_type包含PumpTransferProtocol
+
+![添加Protocol类型](image/add_protocol.png)
 
 ![物料列表](image/material.png)
 
@@ -768,7 +794,43 @@ Waiting for host service...
 
 详细的设备驱动编写指南请参考 [添加设备驱动](../developer_guide/add_device.md)。
 
-#### 9.1 为什么需要自定义设备？
+#### 9.1 开发环境准备
+
+**推荐使用 `unilabos-env` + `pip install -e .` + `uv pip install`** 进行设备开发：
+
+```bash
+# 1. 创建环境并安装 unilabos-env（ROS2 + conda 依赖 + uv）
+mamba create -n unilab python=3.11.14
+conda activate unilab
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+
+# 2. 克隆代码
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
+cd Uni-Lab-OS
+
+# 3. 以可编辑模式安装（推荐使用脚本，自动检测中文环境）
+python scripts/dev_install.py
+
+# 或手动安装：
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+```
+
+**为什么使用这种方式？**
+- `unilabos-env` 提供 ROS2 核心组件和 uv（通过 conda 安装，避免编译）
+- `unilabos/utils/requirements.txt` 包含所有运行时需要的 pip 依赖
+- `dev_install.py` 自动检测中文环境，中文系统自动使用清华镜像
+- 使用 `uv` 替代 `pip`，安装速度更快
+- 可编辑模式：代码修改**立即生效**，无需重新安装
+
+**如果安装失败或速度太慢**，可以手动执行（使用清华镜像）：
+
+```bash
+pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+```
+
+#### 9.2 为什么需要自定义设备？
 
 Uni-Lab-OS 内置了常见设备，但您的实验室可能有特殊设备需要集成：
 
@@ -777,7 +839,7 @@ Uni-Lab-OS 内置了常见设备，但您的实验室可能有特殊设备需要
 - 特殊的实验流程
 - 第三方设备集成
 
-#### 9.2 创建 Python 包
+#### 9.3 创建 Python 包
 
 为了方便开发和管理，建议为您的实验室创建独立的 Python 包。
 
@@ -814,7 +876,7 @@ touch my_lab_devices/my_lab_devices/__init__.py
 touch my_lab_devices/my_lab_devices/devices/__init__.py
 ```
 
-#### 9.3 创建 setup.py
+#### 9.4 创建 setup.py
 
 ```python
 # my_lab_devices/setup.py
@@ -845,7 +907,7 @@ setup(
 )
 ```
 
-#### 9.4 开发安装
+#### 9.5 开发安装
 
 使用 `-e` 参数进行可编辑安装，这样代码修改后立即生效：
 
@@ -860,7 +922,7 @@ pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 - 方便调试和测试
 - 支持版本控制（git）
 
-#### 9.5 编写设备驱动
+#### 9.6 编写设备驱动
 
 创建设备驱动文件：
 
@@ -1001,7 +1063,7 @@ class MyPump:
 - **返回 Dict**：所有动作方法返回字典类型
 - **文档字符串**：详细说明参数和功能
 
-#### 9.6 测试设备驱动
+#### 9.7 测试设备驱动
 
 创建简单的测试脚本：
 

docs/user_guide/installation.md

@@ -13,15 +13,26 @@
   - 开发者需要 Git 和基本的 Python 开发知识
   - 自定义 msgs 需要 GitHub 账号
 
+## 安装包选择
+
+Uni-Lab-OS 提供三个安装包版本，根据您的需求选择：
+
+| 安装包 | 适用场景 | 包含组件 | 磁盘占用 |
+|--------|----------|----------|----------|
+| **unilabos** | **推荐大多数用户**，生产部署 | 完整安装包，开箱即用 | ~2-3 GB |
+| **unilabos-env** | 开发者环境（可编辑安装） | 仅环境依赖，通过 pip 安装 unilabos | ~2 GB |
+| **unilabos-full** | 仿真可视化、完整功能体验 | unilabos + 完整 ROS2 桌面版 + Gazebo + MoveIt | ~8-10 GB |
+
 ## 安装方式选择
 
 根据您的使用场景，选择合适的安装方式：
 
-| 安装方式               | 适用人群             | 特点                           | 安装时间                     |
-| ---------------------- | -------------------- | ------------------------------ | ---------------------------- |
-| **方式一：一键安装**   | 实验室用户、快速体验 | 预打包环境，离线可用，无需配置 | 5-10 分钟 (网络良好的情况下) |
-| **方式二：手动安装**   | 标准用户、生产环境   | 灵活配置，版本可控             | 10-20 分钟                   |
-| **方式三：开发者安装** | 开发者、需要修改源码 | 可编辑模式，支持自定义 msgs    | 20-30 分钟                   |
+| 安装方式               | 适用人群             | 推荐安装包        | 特点                           | 安装时间                     |
+| ---------------------- | -------------------- | ----------------- | ------------------------------ | ---------------------------- |
+| **方式一：一键安装**   | 快速体验、演示       | 预打包环境        | 离线可用，无需配置             | 5-10 分钟 (网络良好的情况下) |
+| **方式二：手动安装**   | **大多数用户**       | `unilabos`        | 完整功能，开箱即用             | 10-20 分钟                   |
+| **方式三：开发者安装** | 开发者、需要修改源码 | `unilabos-env`    | 可编辑模式，支持自定义开发     | 20-30 分钟                   |
+| **仿真/可视化**        | 仿真测试、可视化调试 | `unilabos-full`   | 含 Gazebo、rviz2、MoveIt       | 30-60 分钟                   |
 
 ---
 
@@ -144,17 +155,38 @@ bash Miniforge3-$(uname)-$(uname -m).sh
 使用以下命令创建 Uni-Lab 专用环境：
 
 ```bash
-mamba create -n unilab python=3.11.11  # 目前ros2组件依赖版本大多为3.11.11
+mamba create -n unilab python=3.11.14  # 目前ros2组件依赖版本大多为3.11.14
 mamba activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 选择安装包（三选一）：
+
+# 方案 A：标准安装（推荐大多数用户）
+mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+
+# 方案 B：开发者环境（可编辑模式开发）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+# 然后安装 unilabos 和 pip 依赖：
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git && cd Uni-Lab-OS
+pip install -e .
+uv pip install -r unilabos/utils/requirements.txt
+
+# 方案 C：完整版（含仿真和可视化工具）
+mamba install uni-lab::unilabos-full -c robostack-staging -c conda-forge
 ```
 
 **参数说明**:
 
 - `-n unilab`: 创建名为 "unilab" 的环境
-- `uni-lab::unilabos`: 从 uni-lab channel 安装 unilabos 包
+- `uni-lab::unilabos`: 安装 unilabos 完整包，开箱即用（推荐）
+- `uni-lab::unilabos-env`: 仅安装环境依赖，适合开发者使用 `pip install -e .`
+- `uni-lab::unilabos-full`: 安装完整包（含 ROS2 Desktop、Gazebo、MoveIt 等）
 - `-c robostack-staging -c conda-forge`: 添加额外的软件源
 
+**包选择建议**：
+- **日常使用/生产部署**：安装 `unilabos`（推荐，完整功能，开箱即用）
+- **开发者**：安装 `unilabos-env`，然后使用 `uv pip install -r unilabos/utils/requirements.txt` 安装依赖，再 `pip install -e .` 进行可编辑安装
+- **仿真/可视化**：安装 `unilabos-full`（Gazebo、rviz2、MoveIt）
+
 **如果遇到网络问题**，可以使用清华镜像源加速下载：
 
 ```bash
@@ -163,8 +195,14 @@ mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/m
 mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
 mamba config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
 
-# 然后重新执行安装命令
+# 然后重新执行安装命令（推荐标准安装）
 mamba create -n unilab uni-lab::unilabos -c robostack-staging
+
+# 或完整版（仿真/可视化）
+mamba create -n unilab uni-lab::unilabos-full -c robostack-staging
+
+# pip 安装时使用清华镜像（开发者安装时使用）
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 ```
 
 ### 第三步：激活环境
@@ -203,58 +241,87 @@ cd Uni-Lab-OS
    cd Uni-Lab-OS
    ```
 
-### 第二步：安装基础环境
+### 第二步：安装开发环境（unilabos-env）
 
-**推荐方式**：先通过**方式一（一键安装）**或**方式二（手动安装）**完成基础环境的安装，这将包含所有必需的依赖项（ROS2、msgs 等）。
-
-#### 选项 A：通过一键安装（推荐）
-
-参考上文"方式一：一键安装"，完成基础环境的安装后，激活环境：
+**重要**：开发者请使用 `unilabos-env` 包，它专为开发者设计：
+- 包含 ROS2 核心组件和消息包（ros-humble-ros-core、std-msgs、geometry-msgs 等）
+- 包含 transforms3d、cv-bridge、tf2 等 conda 依赖
+- 包含 `uv` 工具，用于快速安装 pip 依赖
+- **不包含** pip 依赖和 unilabos 包（由 `pip install -e .` 和 `uv pip install` 安装）
 
 ```bash
+# 创建并激活环境
+mamba create -n unilab python=3.11.14
 conda activate unilab
+
+# 安装开发者环境包（ROS2 + conda 依赖 + uv）
+mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
 ```
 
-#### 选项 B：通过手动安装
+### 第三步：安装 pip 依赖和可编辑模式安装
 
-参考上文"方式二：手动安装"，创建并安装环境：
-
-```bash
-mamba create -n unilab python=3.11.11
-conda activate unilab
-mamba install -n unilab uni-lab::unilabos -c robostack-staging -c conda-forge
-```
-
-**说明**：这会安装包括 Python 3.11.11、ROS2 Humble、ros-humble-unilabos-msgs 和所有必需依赖
-
-### 第三步：切换到开发版本
-
-现在你已经有了一个完整可用的 Uni-Lab 环境，接下来将 unilabos 包切换为开发版本：
+克隆代码并安装依赖：
 
 ```bash
 # 确保环境已激活
 conda activate unilab
 
-# 卸载 pip 安装的 unilabos（保留所有 conda 依赖）
-pip uninstall unilabos -y
-
-# 克隆 dev 分支（如果还未克隆）
-cd /path/to/your/workspace
-git clone -b dev https://github.com/deepmodeling/Uni-Lab-OS.git
-# 或者如果已经克隆，切换到 dev 分支
+# 克隆仓库（如果还未克隆）
+git clone https://github.com/deepmodeling/Uni-Lab-OS.git
 cd Uni-Lab-OS
+
+# 切换到 dev 分支（可选）
 git checkout dev
 git pull
-
-# 以可编辑模式安装开发版 unilabos
-pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
 ```
 
-**参数说明**：
+**推荐：使用安装脚本**（自动检测中文环境，使用 uv 加速）：
 
-- `-e`: editable mode（可编辑模式），代码修改立即生效，无需重新安装
-- `-i`: 使用清华镜像源加速下载
-- `pip uninstall unilabos`: 只卸载 pip 安装的 unilabos 包，不影响 conda 安装的其他依赖（如 ROS2、msgs 等）
+```bash
+# 自动检测中文环境，如果是中文系统则使用清华镜像
+python scripts/dev_install.py
+
+# 或者手动指定：
+python scripts/dev_install.py --china     # 强制使用清华镜像
+python scripts/dev_install.py --no-mirror # 强制使用 PyPI
+python scripts/dev_install.py --skip-deps # 跳过 pip 依赖安装
+python scripts/dev_install.py --use-pip   # 使用 pip 而非 uv
+```
+
+**手动安装**（如果脚本安装失败或速度太慢）：
+
+```bash
+# 1. 安装 unilabos（可编辑模式）
+pip install -e .
+
+# 2. 使用 uv 安装 pip 依赖（推荐，速度更快）
+uv pip install -r unilabos/utils/requirements.txt
+
+# 国内用户使用清华镜像：
+pip install -e . -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+uv pip install -r unilabos/utils/requirements.txt -i https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple
+```
+
+**注意**：
+- `uv` 已包含在 `unilabos-env` 中，无需单独安装
+- `unilabos/utils/requirements.txt` 包含运行 unilabos 所需的所有 pip 依赖
+- 部分特殊包（如 pylabrobot）会在运行时由 unilabos 自动检测并安装
+
+**为什么使用可编辑模式？**
+
+- `-e` (editable mode)：代码修改**立即生效**，无需重新安装
+- 适合开发调试：修改代码后直接运行测试
+- 与 `unilabos-env` 配合：环境依赖由 conda 管理，unilabos 代码由 pip 管理
+
+**验证安装**：
+
+```bash
+# 检查 unilabos 版本
+python -c "import unilabos; print(unilabos.__version__)"
+
+# 检查安装位置（应该指向你的代码目录）
+pip show unilabos | grep Location
+```
 
 ### 第四步：安装或自定义 ros-humble-unilabos-msgs（可选）
 
@@ -464,7 +531,45 @@ cd $CONDA_PREFIX/envs/unilab
 
 ### 问题 8: 环境很大，有办法减小吗？
 
-**解决方案**: 预打包的环境包含所有依赖，通常较大（压缩后 2-5GB）。这是为了确保离线安装和完整功能。如果空间有限，考虑使用方式二手动安装，只安装需要的组件。
+**解决方案**: 
+
+1. **使用 `unilabos` 标准版**（推荐大多数用户）：
+   ```bash
+   mamba install uni-lab::unilabos -c robostack-staging -c conda-forge
+   ```
+   标准版包含完整功能，环境大小约 2-3GB（相比完整版的 8-10GB）。
+
+2. **使用 `unilabos-env` 开发者版**（最小化）：
+   ```bash
+   mamba install uni-lab::unilabos-env -c robostack-staging -c conda-forge
+   # 然后手动安装依赖
+   pip install -e .
+   uv pip install -r unilabos/utils/requirements.txt
+   ```
+   开发者版只包含环境依赖，体积最小约 2GB。
+
+3. **按需安装额外组件**：
+   如果后续需要特定功能，可以单独安装：
+   ```bash
+   # 需要 Jupyter
+   mamba install jupyter jupyros
+   
+   # 需要可视化
+   mamba install matplotlib opencv
+   
+   # 需要仿真（注意：这会安装大量依赖）
+   mamba install ros-humble-gazebo-ros
+   ```
+
+4. **预打包环境问题**：
+   预打包环境（方式一）包含所有依赖，通常较大（压缩后 2-5GB）。这是为了确保离线安装和完整功能。
+
+**包选择建议**：
+| 需求 | 推荐包 | 预估大小 |
+|------|--------|----------|
+| 日常使用/生产部署 | `unilabos` | ~2-3 GB |
+| 开发调试（可编辑模式） | `unilabos-env` | ~2 GB |
+| 仿真/可视化 | `unilabos-full` | ~8-10 GB |
 
 ### 问题 9: 如何更新到最新版本？
 
@@ -511,6 +616,7 @@ mamba update ros-humble-unilabos-msgs -c uni-lab -c robostack-staging -c conda-f
 
 **提示**:
 
-- 生产环境推荐使用方式二（手动安装）的稳定版本
-- 开发和测试推荐使用方式三（开发者安装）
-- 快速体验和演示推荐使用方式一（一键安装）
+- **大多数用户**推荐使用方式二（手动安装）的 `unilabos` 标准版
+- **开发者**推荐使用方式三（开发者安装），安装 `unilabos-env` 后使用 `uv pip install -r unilabos/utils/requirements.txt` 安装依赖
+- **仿真/可视化**推荐安装 `unilabos-full` 完整版
+- **快速体验和演示**推荐使用方式一（一键安装）

recipes/msgs/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: ros-humble-unilabos-msgs
-  version: 0.10.16
+  version: 0.10.17
 source:
   path: ../../unilabos_msgs
   target_directory: src

recipes/unilabos/recipe.yaml

@@ -1,6 +1,6 @@
 package:
   name: unilabos
-  version: "0.10.16"
+  version: "0.10.17"
 
 source:
   path: ../..

scripts/create_readme.py

@@ -85,7 +85,7 @@ Verification:
 -------------
 
 The verify_installation.py script will check:
-  - Python version (3.11.11)
+  - Python version (3.11.14)
   - ROS2 rclpy installation
   - UniLabOS installation and dependencies
 
@@ -104,7 +104,7 @@ Build Information:
 
   Branch:   {branch}
   Platform: {platform}
-  Python:   3.11.11
+  Python:   3.11.14
   Date:     {build_date}
 
 Troubleshooting:

scripts/dev_install.py

@@ -0,0 +1,214 @@
+#!/usr/bin/env python3
+"""
+Development installation script for UniLabOS.
+Auto-detects Chinese locale and uses appropriate mirror.
+
+Usage:
+    python scripts/dev_install.py
+    python scripts/dev_install.py --no-mirror  # Force no mirror
+    python scripts/dev_install.py --china      # Force China mirror
+    python scripts/dev_install.py --skip-deps  # Skip pip dependencies installation
+
+Flow:
+    1. pip install -e . (install unilabos in editable mode)
+    2. Detect Chinese locale
+    3. Use uv to install pip dependencies from requirements.txt
+    4. Special packages (like pylabrobot) are handled by environment_check.py at runtime
+"""
+
+import locale
+import subprocess
+import sys
+import argparse
+from pathlib import Path
+
+# Tsinghua mirror URL
+TSINGHUA_MIRROR = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple"
+
+
+def is_chinese_locale() -> bool:
+    """
+    Detect if system is in Chinese locale.
+    Same logic as EnvironmentChecker._is_chinese_locale()
+    """
+    try:
+        lang = locale.getdefaultlocale()[0]
+        if lang and ("zh" in lang.lower() or "chinese" in lang.lower()):
+            return True
+    except Exception:
+        pass
+    return False
+
+
+def run_command(cmd: list, description: str, retry: int = 2) -> bool:
+    """Run command with retry support."""
+    print(f"[INFO] {description}")
+    print(f"[CMD] {' '.join(cmd)}")
+
+    for attempt in range(retry + 1):
+        try:
+            result = subprocess.run(cmd, check=True, timeout=600)
+            print(f"[OK] {description}")
+            return True
+        except subprocess.CalledProcessError as e:
+            if attempt < retry:
+                print(f"[WARN] Attempt {attempt + 1} failed, retrying...")
+            else:
+                print(f"[ERROR] {description} failed: {e}")
+                return False
+        except subprocess.TimeoutExpired:
+            print(f"[ERROR] {description} timed out")
+            return False
+    return False
+
+
+def install_editable(project_root: Path, use_mirror: bool) -> bool:
+    """Install unilabos in editable mode using pip."""
+    cmd = [sys.executable, "-m", "pip", "install", "-e", str(project_root)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing unilabos in editable mode")
+
+
+def install_requirements_uv(requirements_file: Path, use_mirror: bool) -> bool:
+    """Install pip dependencies using uv (installed via conda-forge::uv)."""
+    cmd = ["uv", "pip", "install", "-r", str(requirements_file)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing pip dependencies with uv", retry=2)
+
+
+def install_requirements_pip(requirements_file: Path, use_mirror: bool) -> bool:
+    """Fallback: Install pip dependencies using pip."""
+    cmd = [sys.executable, "-m", "pip", "install", "-r", str(requirements_file)]
+    if use_mirror:
+        cmd.extend(["-i", TSINGHUA_MIRROR])
+
+    return run_command(cmd, "Installing pip dependencies with pip", retry=2)
+
+
+def check_uv_available() -> bool:
+    """Check if uv is available (installed via conda-forge::uv)."""
+    try:
+        subprocess.run(["uv", "--version"], capture_output=True, check=True)
+        return True
+    except (subprocess.CalledProcessError, FileNotFoundError):
+        return False
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Development installation script for UniLabOS")
+    parser.add_argument("--china", action="store_true", help="Force use China mirror (Tsinghua)")
+    parser.add_argument("--no-mirror", action="store_true", help="Force use default PyPI (no mirror)")
+    parser.add_argument(
+        "--skip-deps", action="store_true", help="Skip pip dependencies installation (only install unilabos)"
+    )
+    parser.add_argument("--use-pip", action="store_true", help="Use pip instead of uv for dependencies")
+    args = parser.parse_args()
+
+    # Determine project root
+    script_dir = Path(__file__).parent
+    project_root = script_dir.parent
+    requirements_file = project_root / "unilabos" / "utils" / "requirements.txt"
+
+    if not (project_root / "setup.py").exists():
+        print(f"[ERROR] setup.py not found in {project_root}")
+        sys.exit(1)
+
+    print("=" * 60)
+    print("UniLabOS Development Installation")
+    print("=" * 60)
+    print(f"Project root: {project_root}")
+    print()
+
+    # Determine mirror usage based on locale
+    if args.no_mirror:
+        use_mirror = False
+        print("[INFO] Mirror disabled by --no-mirror flag")
+    elif args.china:
+        use_mirror = True
+        print("[INFO] China mirror enabled by --china flag")
+    else:
+        use_mirror = is_chinese_locale()
+        if use_mirror:
+            print("[INFO] Chinese locale detected, using Tsinghua mirror")
+        else:
+            print("[INFO] Non-Chinese locale detected, using default PyPI")
+
+    print()
+
+    # Step 1: Install unilabos in editable mode
+    print("[STEP 1] Installing unilabos in editable mode...")
+    if not install_editable(project_root, use_mirror):
+        print("[ERROR] Failed to install unilabos")
+        print()
+        print("Manual fallback:")
+        if use_mirror:
+            print(f"  pip install -e {project_root} -i {TSINGHUA_MIRROR}")
+        else:
+            print(f"  pip install -e {project_root}")
+        sys.exit(1)
+
+    print()
+
+    # Step 2: Install pip dependencies
+    if args.skip_deps:
+        print("[INFO] Skipping pip dependencies installation (--skip-deps)")
+    else:
+        print("[STEP 2] Installing pip dependencies...")
+
+        if not requirements_file.exists():
+            print(f"[WARN] Requirements file not found: {requirements_file}")
+            print("[INFO] Skipping dependencies installation")
+        else:
+            # Try uv first (faster), fallback to pip
+            if args.use_pip:
+                print("[INFO] Using pip (--use-pip flag)")
+                success = install_requirements_pip(requirements_file, use_mirror)
+            elif check_uv_available():
+                print("[INFO] Using uv (installed via conda-forge::uv)")
+                success = install_requirements_uv(requirements_file, use_mirror)
+                if not success:
+                    print("[WARN] uv failed, falling back to pip...")
+                    success = install_requirements_pip(requirements_file, use_mirror)
+            else:
+                print("[WARN] uv not available (should be installed via: mamba install conda-forge::uv)")
+                print("[INFO] Falling back to pip...")
+                success = install_requirements_pip(requirements_file, use_mirror)
+
+            if not success:
+                print()
+                print("[WARN] Failed to install some dependencies automatically.")
+                print("You can manually install them:")
+                if use_mirror:
+                    print(f"  uv pip install -r {requirements_file} -i {TSINGHUA_MIRROR}")
+                    print("  or:")
+                    print(f"  pip install -r {requirements_file} -i {TSINGHUA_MIRROR}")
+                else:
+                    print(f"  uv pip install -r {requirements_file}")
+                    print("  or:")
+                    print(f"  pip install -r {requirements_file}")
+
+    print()
+    print("=" * 60)
+    print("Installation complete!")
+    print("=" * 60)
+    print()
+    print("Note: Some special packages (like pylabrobot) are installed")
+    print("automatically at runtime by unilabos if needed.")
+    print()
+    print("Verify installation:")
+    print('  python -c "import unilabos; print(unilabos.__version__)"')
+    print()
+    print("If you encounter issues, you can manually install dependencies:")
+    if use_mirror:
+        print(f"  uv pip install -r unilabos/utils/requirements.txt -i {TSINGHUA_MIRROR}")
+    else:
+        print("  uv pip install -r unilabos/utils/requirements.txt")
+    print()
+
+
+if __name__ == "__main__":
+    main()

setup.py

@@ -4,7 +4,7 @@ package_name = 'unilabos'
 
 setup(
     name=package_name,
-    version='0.10.16',
+    version='0.10.17',
     packages=find_packages(),
     include_package_data=True,
     install_requires=['setuptools'],

tests/workflow/test.json

@@ -0,0 +1,213 @@
+{
+  "workflow": [
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_1",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines",
+        "targets": "Liquid_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_4",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_5",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_2",
+        "targets": "Liquid_6",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_2",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    },
+    {
+      "action": "transfer_liquid",
+      "action_args": {
+        "sources": "cell_lines_3",
+        "targets": "dest_set_3",
+        "asp_vol": 100.0,
+        "dis_vol": 74.75,
+        "asp_flow_rate": 94.0,
+        "dis_flow_rate": 95.5
+      }
+    }
+  ],
+  "reagent": {
+    "Liquid_1": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_4": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "dest_set": {
+      "slot": 1,
+      "well": [
+        "A4",
+        "A7",
+        "A10"
+      ],
+      "labware": "rep 1"
+    },
+    "Liquid_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_5": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "dest_set_2": {
+      "slot": 2,
+      "well": [
+        "A3",
+        "A5",
+        "A8"
+      ],
+      "labware": "rep 2"
+    },
+    "Liquid_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "Liquid_6": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "dest_set_3": {
+      "slot": 3,
+      "well": [
+        "A4",
+        "A6",
+        "A10"
+      ],
+      "labware": "rep 3"
+    },
+    "cell_lines": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_2": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    },
+    "cell_lines_3": {
+      "slot": 4,
+      "well": [
+        "A1",
+        "A3",
+        "A5"
+      ],
+      "labware": "DRUG + YOYO-MEDIA"
+    }
+  }
+}

unilabos/__init__.py

@@ -1 +1 @@
-__version__ = "0.10.16"
+__version__ = "0.10.17"

unilabos/app/main.py

@@ -7,7 +7,6 @@ import sys
 import threading
 import time
 from typing import Dict, Any, List
-
 import networkx as nx
 import yaml
 
@@ -17,9 +16,9 @@ unilabos_dir = os.path.dirname(os.path.dirname(current_dir))
 if unilabos_dir not in sys.path:
     sys.path.append(unilabos_dir)
 
+from unilabos.app.utils import cleanup_for_restart
 from unilabos.utils.banner_print import print_status, print_unilab_banner
 from unilabos.config.config import load_config, BasicConfig, HTTPConfig
-from unilabos.app.utils import cleanup_for_restart
 
 # Global restart flags (used by ws_client and web/server)
 _restart_requested: bool = False
@@ -217,7 +216,10 @@ def main():
     args_dict = vars(args)
 
     # 环境检查 - 检查并自动安装必需的包 (可选)
-    if not args_dict.get("skip_env_check", False):
+    skip_env_check = args_dict.get("skip_env_check", False)
+    check_mode = args_dict.get("check_mode", False)
+
+    if not skip_env_check:
         from unilabos.utils.environment_check import check_environment
 
         if not check_environment(auto_install=True):
@@ -228,7 +230,21 @@ def main():
 
     # 加载配置文件，优先加载config，然后从env读取
     config_path = args_dict.get("config")
-    if os.getcwd().endswith("unilabos_data"):
+
+    if check_mode:
+        args_dict["working_dir"] = os.path.abspath(os.getcwd())
+    # 当 skip_env_check 时，默认使用当前目录作为 working_dir
+    if skip_env_check and not args_dict.get("working_dir") and not config_path:
+        working_dir = os.path.abspath(os.getcwd())
+        print_status(f"跳过环境检查模式：使用当前目录作为工作目录 {working_dir}", "info")
+        # 检查当前目录是否有 local_config.py
+        local_config_in_cwd = os.path.join(working_dir, "local_config.py")
+        if os.path.exists(local_config_in_cwd):
+            config_path = local_config_in_cwd
+            print_status(f"发现本地配置文件: {config_path}", "info")
+        else:
+            print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
+    elif os.getcwd().endswith("unilabos_data"):
         working_dir = os.path.abspath(os.getcwd())
     else:
         working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
@@ -247,7 +263,7 @@ def main():
         working_dir = os.path.dirname(config_path)
     elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
         config_path = os.path.join(working_dir, "local_config.py")
-    elif not config_path and (
+    elif not skip_env_check and not config_path and (
         not os.path.exists(working_dir) or not os.path.exists(os.path.join(working_dir, "local_config.py"))
     ):
         print_status(f"未指定config路径，可通过 --config 传入 local_config.py 文件路径", "info")
@@ -261,9 +277,11 @@ def main():
             print_status(f"已创建 local_config.py 路径： {config_path}", "info")
         else:
             os._exit(1)
-    # 加载配置文件
+
+    # 加载配置文件 (check_mode 跳过)
     print_status(f"当前工作目录为 {working_dir}", "info")
-    load_config_from_file(config_path)
+    if not check_mode:
+        load_config_from_file(config_path)
 
     # 根据配置重新设置日志级别
     from unilabos.utils.log import configure_logger, logger
@@ -319,12 +337,7 @@ def main():
     machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
     BasicConfig.machine_name = machine_name
     BasicConfig.vis_2d_enable = args_dict["2d_vis"]
-
-    # Check mode 处理
-    check_mode = args_dict.get("check_mode", False)
     BasicConfig.check_mode = check_mode
-    if check_mode:
-        print_status("Check mode 启用，将进行 complete_registry 检查", "info")
 
     from unilabos.resources.graphio import (
         read_node_link_json,

unilabos/app/utils.py

@@ -4,8 +4,40 @@ UniLabOS 应用工具函数
 提供清理、重启等工具函数
 """
 
-import gc
+import glob
 import os
+import shutil
+import sys
+
+
+def patch_rclpy_dll_windows():
+    """在 Windows + conda 环境下为 rclpy 打 DLL 加载补丁"""
+    if sys.platform != "win32" or not os.environ.get("CONDA_PREFIX"):
+        return
+    try:
+        import rclpy
+
+        return
+    except ImportError as e:
+        if not str(e).startswith("DLL load failed"):
+            return
+    cp = os.environ["CONDA_PREFIX"]
+    impl = os.path.join(cp, "Lib", "site-packages", "rclpy", "impl", "implementation_singleton.py")
+    pyd = glob.glob(os.path.join(cp, "Lib", "site-packages", "rclpy", "_rclpy_pybind11*.pyd"))
+    if not os.path.exists(impl) or not pyd:
+        return
+    with open(impl, "r", encoding="utf-8") as f:
+        content = f.read()
+    lib_bin = os.path.join(cp, "Library", "bin").replace("\\", "/")
+    patch = f'# UniLabOS DLL Patch\nimport os,ctypes\nos.add_dll_directory("{lib_bin}") if hasattr(os,"add_dll_directory") else None\ntry: ctypes.CDLL("{pyd[0].replace(chr(92),"/")}")\nexcept: pass\n# End Patch\n'
+    shutil.copy2(impl, impl + ".bak")
+    with open(impl, "w", encoding="utf-8") as f:
+        f.write(patch + content)
+
+
+patch_rclpy_dll_windows()
+
+import gc
 import threading
 import time
 

unilabos/app/web/client.py

@@ -359,9 +359,7 @@ class HTTPClient:
         Returns:
             Dict: API响应数据，包含 code 和 data (uuid, name)
         """
-        # target_lab_uuid 暂时使用默认值，后续由后端根据 ak/sk 获取
         payload = {
-            "target_lab_uuid": "28c38bb0-63f6-4352-b0d8-b5b8eb1766d5",
             "name": name,
             "data": {
                 "workflow_uuid": workflow_uuid,

unilabos/devices/liquid_handling/liquid_handler_abstract.py

@@ -1,15 +1,11 @@
 from __future__ import annotations
 
-import asyncio
 import time
 import traceback
 from collections import Counter
 from typing import List, Sequence, Optional, Literal, Union, Iterator, Dict, Any, Callable, Set, cast
 
-from typing_extensions import TypedDict
 from pylabrobot.liquid_handling import LiquidHandler, LiquidHandlerBackend, LiquidHandlerChatterboxBackend, Strictness
-from unilabos.devices.liquid_handling.rviz_backend import UniLiquidHandlerRvizBackend
-from unilabos.devices.liquid_handling.laiyu.backend.laiyu_v_backend import UniLiquidHandlerLaiyuBackend
 from pylabrobot.liquid_handling.liquid_handler import TipPresenceProbingMethod
 from pylabrobot.liquid_handling.standard import GripDirection
 from pylabrobot.resources import (
@@ -27,22 +23,48 @@ from pylabrobot.resources import (
     Trash,
     Tip,
 )
+from typing_extensions import TypedDict
+
+from unilabos.devices.liquid_handling.rviz_backend import UniLiquidHandlerRvizBackend
+from unilabos.registry.placeholder_type import ResourceSlot
+from unilabos.resources.resource_tracker import ResourceTreeSet, ResourceDict
+from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode, ROS2DeviceNode
+
 
-from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
 class SimpleReturn(TypedDict):
-    samples: list
-    volumes: list
+    samples: List[List[ResourceDict]]
+    volumes: List[float]
+
+
+class SetLiquidReturn(TypedDict):
+    wells: List[List[ResourceDict]]
+    volumes: List[float]
+
+
+class SetLiquidFromPlateReturn(TypedDict):
+    plate: List[List[ResourceDict]]
+    wells: List[List[ResourceDict]]
+    volumes: List[float]
+
+
+class TransferLiquidReturn(TypedDict):
+    sources: List[List[ResourceDict]]
+    targets: List[List[ResourceDict]]
+
 
 class LiquidHandlerMiddleware(LiquidHandler):
-    def __init__(self, backend: LiquidHandlerBackend, deck: Deck, simulator: bool = False, channel_num: int = 8, **kwargs):
+    def __init__(
+        self, backend: LiquidHandlerBackend, deck: Deck, simulator: bool = False, channel_num: int = 8, **kwargs
+    ):
         self._simulator = simulator
         self.channel_num = channel_num
         self.pending_liquids_dict = {}
         joint_config = kwargs.get("joint_config", None)
         if simulator:
             if joint_config:
-                self._simulate_backend = UniLiquidHandlerRvizBackend(channel_num, kwargs["total_height"],
-                                                                     joint_config=joint_config, lh_device_id=deck.name)
+                self._simulate_backend = UniLiquidHandlerRvizBackend(
+                    channel_num, kwargs["total_height"], joint_config=joint_config, lh_device_id=deck.name
+                )
             else:
                 self._simulate_backend = LiquidHandlerChatterboxBackend(channel_num)
             self._simulate_handler = LiquidHandlerAbstract(self._simulate_backend, deck, False)
@@ -159,7 +181,9 @@ class LiquidHandlerMiddleware(LiquidHandler):
         if not offsets or (isinstance(offsets, list) and len(offsets) != len(use_channels)):
             offsets = [Coordinate.zero()] * len(use_channels)
         if self._simulator:
-            return await self._simulate_handler.discard_tips(use_channels, allow_nonzero_volume, offsets, **backend_kwargs)
+            return await self._simulate_handler.discard_tips(
+                use_channels, allow_nonzero_volume, offsets, **backend_kwargs
+            )
         await super().discard_tips(use_channels, allow_nonzero_volume, offsets, **backend_kwargs)
         self.pending_liquids_dict = {}
         return
@@ -180,7 +204,6 @@ class LiquidHandlerMiddleware(LiquidHandler):
         **backend_kwargs,
     ):
 
-        
         if self._simulator:
             return await self._simulate_handler.aspirate(
                 resources,
@@ -208,15 +231,16 @@ class LiquidHandlerMiddleware(LiquidHandler):
         res_samples = []
         res_volumes = []
         for resource, volume, channel in zip(resources, vols, use_channels):
-            res_samples.append({"name": resource.name, "sample_uuid": resource.unilabos_extra.get("sample_uuid", None)})
+            res_samples.append(
+                {"name": resource.name, "sample_uuid": resource.unilabos_extra.get("sample_uuid", None)}
+            )
             res_volumes.append(volume)
             self.pending_liquids_dict[channel] = {
                 "sample_uuid": resource.unilabos_extra.get("sample_uuid", None),
-                "volume": volume
+                "volume": volume,
             }
         return SimpleReturn(samples=res_samples, volumes=res_volumes)
 
-
     async def dispense(
         self,
         resources: Sequence[Container],
@@ -578,10 +602,18 @@ class LiquidHandlerMiddleware(LiquidHandler):
 
 class LiquidHandlerAbstract(LiquidHandlerMiddleware):
     """Extended LiquidHandler with additional operations."""
+
     support_touch_tip = True
     _ros_node: BaseROS2DeviceNode
 
-    def __init__(self, backend: LiquidHandlerBackend, deck: Deck, simulator: bool=False, channel_num:int = 8, total_height:float = 310):
+    def __init__(
+        self,
+        backend: LiquidHandlerBackend,
+        deck: Deck,
+        simulator: bool = False,
+        channel_num: int = 8,
+        total_height: float = 310,
+    ):
         """Initialize a LiquidHandler.
 
         Args:
@@ -605,6 +637,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         module_name = ".".join(components[:-1])
                         try:
                             import importlib
+
                             mod = importlib.import_module(module_name)
                         except ImportError:
                             mod = None
@@ -614,6 +647,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         # Try pylabrobot style import (if available)
                         try:
                             import pylabrobot
+
                             backend_cls = getattr(pylabrobot, type_str, None)
                         except Exception:
                             backend_cls = None
@@ -631,16 +665,67 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         self._ros_node = ros_node
 
     @classmethod
-    def set_liquid(cls, wells: list[Well], liquid_names: list[str], volumes: list[float]) -> SimpleReturn:
-        """Set the liquid in a well."""
-        res_samples = []
+    def set_liquid(cls, wells: list[Well], liquid_names: list[str], volumes: list[float]) -> SetLiquidReturn:
+        """Set the liquid in a well.
+
+        如果 liquid_names 和 volumes 为空，但 wells 不为空，直接返回 wells。
+        """
         res_volumes = []
+        # 如果 liquid_names 和 volumes 都为空，直接返回 wells
+        if not liquid_names and not volumes:
+            return SetLiquidReturn(
+                wells=ResourceTreeSet.from_plr_resources(wells, known_newly_created=False).dump(), volumes=res_volumes  # type: ignore
+            )
+
         for well, liquid_name, volume in zip(wells, liquid_names, volumes):
             well.set_liquids([(liquid_name, volume)])  # type: ignore
-            res_samples.append({"name": well.name, "sample_uuid": well.unilabos_extra.get("sample_uuid", None)})
             res_volumes.append(volume)
 
-        return SimpleReturn(samples=res_samples, volumes=res_volumes)
+        return SetLiquidReturn(
+            wells=ResourceTreeSet.from_plr_resources(wells, known_newly_created=False).dump(), volumes=res_volumes  # type: ignore
+        )
+
+    def set_liquid_from_plate(
+        self, plate: List[ResourceSlot], well_names: list[str], liquid_names: list[str], volumes: list[float]
+    ) -> SetLiquidFromPlateReturn:
+        """Set the liquid in wells of a plate by well names (e.g., A1, A2, B3).
+
+        如果 liquid_names 和 volumes 为空，但 plate 和 well_names 不为空，直接返回 plate 和 wells。
+        """
+        if isinstance(plate, list):  # 未来移除
+            plate = plate[0]
+        assert issubclass(plate.__class__, Plate), "plate must be a Plate"
+        plate: Plate = cast(Plate, plate)
+        # 根据 well_names 获取对应的 Well 对象
+        wells = [plate.get_well(name) for name in well_names]
+        res_volumes = []
+
+        # 如果 liquid_names 和 volumes 都为空，直接返回
+        if not liquid_names and not volumes:
+            return SetLiquidFromPlateReturn(
+                plate=ResourceTreeSet.from_plr_resources([plate], known_newly_created=False).dump(),  # type: ignore
+                wells=ResourceTreeSet.from_plr_resources(wells, known_newly_created=False).dump(),  # type: ignore
+                volumes=res_volumes,
+            )
+
+        for well, liquid_name, volume in zip(wells, liquid_names, volumes):
+            well.set_liquids([(liquid_name, volume)])  # type: ignore
+            res_volumes.append(volume)
+
+        task = ROS2DeviceNode.run_async_func(self._ros_node.update_resource, True, **{"resources": wells})
+        submit_time = time.time()
+        while not task.done():
+            if time.time() - submit_time > 10:
+                self._ros_node.lab_logger().info(f"set_liquid_from_plate {plate} 超时")
+                break
+            time.sleep(0.01)
+
+        return SetLiquidFromPlateReturn(
+            plate=ResourceTreeSet.from_plr_resources([plate], known_newly_created=False).dump(),  # type: ignore
+            wells=ResourceTreeSet.from_plr_resources(wells, known_newly_created=False).dump(),  # type: ignore
+            volumes=res_volumes,
+        )
+
     # ---------------------------------------------------------------
     # REMOVE LIQUID --------------------------------------------------
     # ---------------------------------------------------------------
@@ -676,7 +761,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 target_rack = child
         target_rack = cast(TipRack, target_rack)
         available_tips = {}
-        for (idx, tipSpot) in enumerate(target_rack.get_all_items()):
+        for idx, tipSpot in enumerate(target_rack.get_all_items()):
             if tipSpot.has_tip():
                 available_tips[idx] = tipSpot
                 continue
@@ -684,8 +769,8 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         print("channel_num", self.channel_num)
         if self.channel_num == 8:
 
-            tip_prefix = list(available_tips.values())[0].name.split('_')[0]
-            colnum_list = [int(tip.name.split('_')[-1][1:]) for tip in available_tips.values()]
+            tip_prefix = list(available_tips.values())[0].name.split("_")[0]
+            colnum_list = [int(tip.name.split("_")[-1][1:]) for tip in available_tips.values()]
             available_cols = [colnum for colnum, count in dict(Counter(colnum_list)).items() if count == 8]
             available_cols.sort()
             available_tips_dict = {tip.name: tip for tip in available_tips.values()}
@@ -729,7 +814,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         """Create a new protocol with the given metadata."""
         pass
 
-
     async def remove_liquid(
         self,
         vols: List[float],
@@ -788,10 +872,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
 
                 elif len(use_channels) == 8 and self.backend.num_channels == 8:
 
-                  
                     # 对于8个的情况，需要判断此时任务是不是能被8通道移液站来成功处理
                     if len(sources) % 8 != 0:
-                        raise ValueError(f"Length of `sources` {len(sources)} must be a multiple of 8 for 8-channel mode.")
+                        raise ValueError(
+                            f"Length of `sources` {len(sources)} must be a multiple of 8 for 8-channel mode."
+                        )
 
                     # 8个8个来取任务序列
 
@@ -800,18 +885,28 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         for _ in range(len(use_channels)):
                             tip.extend(next(self.current_tip))
                         await self.pick_up_tips(tip)
-                        current_targets = waste_liquid[i:i + 8]
-                        current_reagent_sources = sources[i:i + 8]
-                        current_asp_vols = vols[i:i + 8]
-                        current_dis_vols = vols[i:i + 8]
-                        current_asp_flow_rates = flow_rates[i:i + 8] if flow_rates else [None] * 8
-                        current_dis_flow_rates = flow_rates[-i*8-8:len(flow_rates)-i*8] if flow_rates else [None] * 8
-                        current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
-                        current_dis_offset = offsets[-i*8-8:len(offsets)-i*8] if offsets else [None] * 8
-                        current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                        current_dis_liquid_height = liquid_height[-i*8-8:len(liquid_height)-i*8] if liquid_height else [None] * 8
-                        current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
-                        current_dis_blow_out_air_volume = blow_out_air_volume[-i*8-8:len(blow_out_air_volume)-i*8] if blow_out_air_volume else [None] * 8
+                        current_targets = waste_liquid[i : i + 8]
+                        current_reagent_sources = sources[i : i + 8]
+                        current_asp_vols = vols[i : i + 8]
+                        current_dis_vols = vols[i : i + 8]
+                        current_asp_flow_rates = flow_rates[i : i + 8] if flow_rates else [None] * 8
+                        current_dis_flow_rates = (
+                            flow_rates[-i * 8 - 8 : len(flow_rates) - i * 8] if flow_rates else [None] * 8
+                        )
+                        current_asp_offset = offsets[i : i + 8] if offsets else [None] * 8
+                        current_dis_offset = offsets[-i * 8 - 8 : len(offsets) - i * 8] if offsets else [None] * 8
+                        current_asp_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                        current_dis_liquid_height = (
+                            liquid_height[-i * 8 - 8 : len(liquid_height) - i * 8] if liquid_height else [None] * 8
+                        )
+                        current_asp_blow_out_air_volume = (
+                            blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
+                        )
+                        current_dis_blow_out_air_volume = (
+                            blow_out_air_volume[-i * 8 - 8 : len(blow_out_air_volume) - i * 8]
+                            if blow_out_air_volume
+                            else [None] * 8
+                        )
 
                         await self.aspirate(
                             resources=current_reagent_sources,
@@ -872,127 +967,136 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         # """A complete *add* (aspirate reagent → dispense into targets) operation."""
 
         # # try:
-            if is_96_well:
-                pass  # This mode is not verified.
-            else:
-                if len(asp_vols) != len(targets):
-                    raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
-                # 首先应该对任务分组，然后每次1个/8个进行操作处理
-                if len(use_channels) == 1:
-                    for _ in range(len(targets)):
-                        tip = []
-                        for x in range(len(use_channels)):
-                            tip.extend(next(self.current_tip))
-                        await self.pick_up_tips(tip)
+        if is_96_well:
+            pass  # This mode is not verified.
+        else:
+            if len(asp_vols) != len(targets):
+                raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
+            # 首先应该对任务分组，然后每次1个/8个进行操作处理
+            if len(use_channels) == 1:
+                for _ in range(len(targets)):
+                    tip = []
+                    for x in range(len(use_channels)):
+                        tip.extend(next(self.current_tip))
+                    await self.pick_up_tips(tip)
 
-                        await self.aspirate(
-                            resources=[reagent_sources[_]],
-                            vols=[asp_vols[_]],
-                            use_channels=use_channels,
-                            flow_rates=[flow_rates[0]] if flow_rates else None,
-                            offsets=[offsets[0]] if offsets else None,
-                            liquid_height=[liquid_height[0]] if liquid_height else None,
-                            blow_out_air_volume=[blow_out_air_volume[0]] if blow_out_air_volume else None,
-                            spread=spread,
+                    await self.aspirate(
+                        resources=[reagent_sources[_]],
+                        vols=[asp_vols[_]],
+                        use_channels=use_channels,
+                        flow_rates=[flow_rates[0]] if flow_rates else None,
+                        offsets=[offsets[0]] if offsets else None,
+                        liquid_height=[liquid_height[0]] if liquid_height else None,
+                        blow_out_air_volume=[blow_out_air_volume[0]] if blow_out_air_volume else None,
+                        spread=spread,
+                    )
+
+                    if delays is not None:
+                        await self.custom_delay(seconds=delays[0])
+                    await self.dispense(
+                        resources=[targets[_]],
+                        vols=[dis_vols[_]],
+                        use_channels=use_channels,
+                        flow_rates=[flow_rates[1]] if flow_rates else None,
+                        offsets=[offsets[1]] if offsets else None,
+                        blow_out_air_volume=[blow_out_air_volume[1]] if blow_out_air_volume else None,
+                        liquid_height=[liquid_height[1]] if liquid_height else None,
+                        spread=spread,
+                    )
+
+                    if delays is not None and len(delays) > 1:
+                        await self.custom_delay(seconds=delays[1])
+                    # 只有在 mix_time 有效时才调用 mix
+                    if mix_time is not None and mix_time > 0:
+                        await self.mix(
+                            targets=[targets[_]],
+                            mix_time=mix_time,
+                            mix_vol=mix_vol,
+                            offsets=offsets if offsets else None,
+                            height_to_bottom=mix_liquid_height if mix_liquid_height else None,
+                            mix_rate=mix_rate if mix_rate else None,
                         )
+                    if delays is not None and len(delays) > 1:
+                        await self.custom_delay(seconds=delays[1])
+                    await self.touch_tip(targets[_])
+                    await self.discard_tips()
 
-                        if delays is not None:
-                            await self.custom_delay(seconds=delays[0])
-                        await self.dispense(
-                            resources=[targets[_]],
-                            vols=[dis_vols[_]],
-                            use_channels=use_channels,
-                            flow_rates=[flow_rates[1]] if flow_rates else None,
-                            offsets=[offsets[1]] if offsets else None,
-                            blow_out_air_volume=[blow_out_air_volume[1]] if blow_out_air_volume else None,
-                            liquid_height=[liquid_height[1]] if liquid_height else None,
-                            spread=spread,
+            elif len(use_channels) == 8:
+                # 对于8个的情况，需要判断此时任务是不是能被8通道移液站来成功处理
+                if len(targets) % 8 != 0:
+                    raise ValueError(f"Length of `targets` {len(targets)} must be a multiple of 8 for 8-channel mode.")
+
+                for i in range(0, len(targets), 8):
+                    tip = []
+                    for _ in range(len(use_channels)):
+                        tip.extend(next(self.current_tip))
+                    await self.pick_up_tips(tip)
+                    current_targets = targets[i : i + 8]
+                    current_reagent_sources = reagent_sources[i : i + 8]
+                    current_asp_vols = asp_vols[i : i + 8]
+                    current_dis_vols = dis_vols[i : i + 8]
+                    current_asp_flow_rates = flow_rates[i : i + 8] if flow_rates else [None] * 8
+                    current_dis_flow_rates = (
+                        flow_rates[-i * 8 - 8 : len(flow_rates) - i * 8] if flow_rates else [None] * 8
+                    )
+                    current_asp_offset = offsets[i : i + 8] if offsets else [None] * 8
+                    current_dis_offset = offsets[-i * 8 - 8 : len(offsets) - i * 8] if offsets else [None] * 8
+                    current_asp_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                    current_dis_liquid_height = (
+                        liquid_height[-i * 8 - 8 : len(liquid_height) - i * 8] if liquid_height else [None] * 8
+                    )
+                    current_asp_blow_out_air_volume = (
+                        blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
+                    )
+                    current_dis_blow_out_air_volume = (
+                        blow_out_air_volume[-i * 8 - 8 : len(blow_out_air_volume) - i * 8]
+                        if blow_out_air_volume
+                        else [None] * 8
+                    )
+
+                    await self.aspirate(
+                        resources=current_reagent_sources,
+                        vols=current_asp_vols,
+                        use_channels=use_channels,
+                        flow_rates=current_asp_flow_rates,
+                        offsets=current_asp_offset,
+                        liquid_height=current_asp_liquid_height,
+                        blow_out_air_volume=current_asp_blow_out_air_volume,
+                        spread=spread,
+                    )
+                    if delays is not None:
+                        await self.custom_delay(seconds=delays[0])
+                    await self.dispense(
+                        resources=current_targets,
+                        vols=current_dis_vols,
+                        use_channels=use_channels,
+                        flow_rates=current_dis_flow_rates,
+                        offsets=current_dis_offset,
+                        liquid_height=current_dis_liquid_height,
+                        blow_out_air_volume=current_dis_blow_out_air_volume,
+                        spread=spread,
+                    )
+                    if delays is not None and len(delays) > 1:
+                        await self.custom_delay(seconds=delays[1])
+
+                    # 只有在 mix_time 有效时才调用 mix
+                    if mix_time is not None and mix_time > 0:
+                        await self.mix(
+                            targets=current_targets,
+                            mix_time=mix_time,
+                            mix_vol=mix_vol,
+                            offsets=offsets if offsets else None,
+                            height_to_bottom=mix_liquid_height if mix_liquid_height else None,
+                            mix_rate=mix_rate if mix_rate else None,
                         )
+                    if delays is not None and len(delays) > 1:
+                        await self.custom_delay(seconds=delays[1])
+                    await self.touch_tip(current_targets)
+                    await self.discard_tips()
 
-                        if delays is not None and len(delays) > 1:
-                            await self.custom_delay(seconds=delays[1])
-                        # 只有在 mix_time 有效时才调用 mix
-                        if mix_time is not None and mix_time > 0:
-                            await self.mix(
-                                targets=[targets[_]],
-                                mix_time=mix_time,
-                                mix_vol=mix_vol,
-                                offsets=offsets if offsets else None,
-                                height_to_bottom=mix_liquid_height if mix_liquid_height else None,
-                                mix_rate=mix_rate if mix_rate else None,
-                            )
-                        if delays is not None and len(delays) > 1:
-                            await self.custom_delay(seconds=delays[1])
-                        await self.touch_tip(targets[_])
-                        await self.discard_tips()
-
-                elif len(use_channels) == 8:
-                    # 对于8个的情况，需要判断此时任务是不是能被8通道移液站来成功处理
-                    if len(targets) % 8 != 0:
-                        raise ValueError(f"Length of `targets` {len(targets)} must be a multiple of 8 for 8-channel mode.")
-
-                    for i in range(0, len(targets), 8):
-                        tip = []
-                        for _ in range(len(use_channels)):
-                            tip.extend(next(self.current_tip))
-                        await self.pick_up_tips(tip)
-                        current_targets = targets[i:i + 8]
-                        current_reagent_sources = reagent_sources[i:i + 8]
-                        current_asp_vols = asp_vols[i:i + 8]
-                        current_dis_vols = dis_vols[i:i + 8]
-                        current_asp_flow_rates = flow_rates[i:i + 8] if flow_rates else [None] * 8
-                        current_dis_flow_rates = flow_rates[-i*8-8:len(flow_rates)-i*8] if flow_rates else [None] * 8
-                        current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
-                        current_dis_offset = offsets[-i*8-8:len(offsets)-i*8] if offsets else [None] * 8
-                        current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                        current_dis_liquid_height = liquid_height[-i*8-8:len(liquid_height)-i*8] if liquid_height else [None] * 8
-                        current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
-                        current_dis_blow_out_air_volume = blow_out_air_volume[-i*8-8:len(blow_out_air_volume)-i*8] if blow_out_air_volume else [None] * 8
-
-                        await self.aspirate(
-                            resources=current_reagent_sources,
-                            vols=current_asp_vols,
-                            use_channels=use_channels,
-                            flow_rates=current_asp_flow_rates,
-                            offsets=current_asp_offset,
-                            liquid_height=current_asp_liquid_height,
-                            blow_out_air_volume=current_asp_blow_out_air_volume,
-                            spread=spread,
-                        )
-                        if delays is not None:
-                            await self.custom_delay(seconds=delays[0])
-                        await self.dispense(
-                            resources=current_targets,
-                            vols=current_dis_vols,
-                            use_channels=use_channels,
-                            flow_rates=current_dis_flow_rates,
-                            offsets=current_dis_offset,
-                            liquid_height=current_dis_liquid_height,
-                            blow_out_air_volume=current_dis_blow_out_air_volume,
-                            spread=spread,
-                        )
-                        if delays is not None and len(delays) > 1:
-                            await self.custom_delay(seconds=delays[1])
-
-                        # 只有在 mix_time 有效时才调用 mix
-                        if mix_time is not None and mix_time > 0:
-                            await self.mix(
-                                targets=current_targets,
-                                mix_time=mix_time,
-                                mix_vol=mix_vol,
-                                offsets=offsets if offsets else None,
-                                height_to_bottom=mix_liquid_height if mix_liquid_height else None,
-                                mix_rate=mix_rate if mix_rate else None,
-                            )
-                        if delays is not None and len(delays) > 1:
-                            await self.custom_delay(seconds=delays[1])
-                        await self.touch_tip(current_targets)
-                        await self.discard_tips()
-
-
-        # except Exception as e:
-        #     traceback.print_exc()
-        #     raise RuntimeError(f"Liquid addition failed: {e}") from e
+    # except Exception as e:
+    #     traceback.print_exc()
+    #     raise RuntimeError(f"Liquid addition failed: {e}") from e
 
     # ---------------------------------------------------------------
     # TRANSFER LIQUID ------------------------------------------------
@@ -1021,7 +1125,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         mix_liquid_height: Optional[float] = None,
         delays: Optional[List[int]] = None,
         none_keys: List[str] = [],
-    ):
+    ) -> TransferLiquidReturn:
         """Transfer liquid with automatic mode detection.
 
         Supports three transfer modes:
@@ -1089,29 +1193,71 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
         if num_sources == 1 and num_targets > 1:
             # 模式1: 一对多 (1 source -> N targets)
             await self._transfer_one_to_many(
-                sources[0], targets, tip_racks, use_channels,
-                asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
-                offsets, touch_tip, liquid_height, blow_out_air_volume,
-                spread, mix_stage, mix_times, mix_vol, mix_rate,
-                mix_liquid_height, delays
+                sources[0],
+                targets,
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
             )
         elif num_sources > 1 and num_targets == 1:
             # 模式2: 多对一 (N sources -> 1 target)
             await self._transfer_many_to_one(
-                sources, targets[0], tip_racks, use_channels,
-                asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
-                offsets, touch_tip, liquid_height, blow_out_air_volume,
-                spread, mix_stage, mix_times, mix_vol, mix_rate,
-                mix_liquid_height, delays
+                sources,
+                targets[0],
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
             )
         elif num_sources == num_targets:
             # 模式3: 一对一 (N sources -> N targets)
             await self._transfer_one_to_one(
-                sources, targets, tip_racks, use_channels,
-                asp_vols, dis_vols, asp_flow_rates, dis_flow_rates,
-                offsets, touch_tip, liquid_height, blow_out_air_volume,
-                spread, mix_stage, mix_times, mix_vol, mix_rate,
-                mix_liquid_height, delays
+                sources,
+                targets,
+                tip_racks,
+                use_channels,
+                asp_vols,
+                dis_vols,
+                asp_flow_rates,
+                dis_flow_rates,
+                offsets,
+                touch_tip,
+                liquid_height,
+                blow_out_air_volume,
+                spread,
+                mix_stage,
+                mix_times,
+                mix_vol,
+                mix_rate,
+                mix_liquid_height,
+                delays,
             )
         else:
             raise ValueError(
@@ -1119,6 +1265,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 "Supported modes: 1->N, N->1, or N->N."
             )
 
+        return TransferLiquidReturn(
+            sources=ResourceTreeSet.from_plr_resources(list(sources), known_newly_created=False).dump(),  # type: ignore
+            targets=ResourceTreeSet.from_plr_resources(list(targets), known_newly_created=False).dump(),  # type: ignore
+        )
+
     async def _transfer_one_to_one(
         self,
         sources: Sequence[Container],
@@ -1174,7 +1325,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     flow_rates=[asp_flow_rates[_]] if asp_flow_rates and len(asp_flow_rates) > _ else None,
                     offsets=[offsets[_]] if offsets and len(offsets) > _ else None,
                     liquid_height=[liquid_height[_]] if liquid_height and len(liquid_height) > _ else None,
-                    blow_out_air_volume=[blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None,
+                    blow_out_air_volume=(
+                        [blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None
+                    ),
                     spread=spread,
                 )
                 if delays is not None:
@@ -1185,7 +1338,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     use_channels=use_channels,
                     flow_rates=[dis_flow_rates[_]] if dis_flow_rates and len(dis_flow_rates) > _ else None,
                     offsets=[offsets[_]] if offsets and len(offsets) > _ else None,
-                    blow_out_air_volume=[blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None,
+                    blow_out_air_volume=(
+                        [blow_out_air_volume[_]] if blow_out_air_volume and len(blow_out_air_volume) > _ else None
+                    ),
                     liquid_height=[liquid_height[_]] if liquid_height and len(liquid_height) > _ else None,
                     spread=spread,
                 )
@@ -1214,18 +1369,18 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 for _ in range(len(use_channels)):
                     tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
-                current_targets = targets[i:i + 8]
-                current_reagent_sources = sources[i:i + 8]
-                current_asp_vols = asp_vols[i:i + 8]
-                current_dis_vols = dis_vols[i:i + 8]
-                current_asp_flow_rates = asp_flow_rates[i:i + 8] if asp_flow_rates else None
-                current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
-                current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
-                current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
-                current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
-                current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
+                current_targets = targets[i : i + 8]
+                current_reagent_sources = sources[i : i + 8]
+                current_asp_vols = asp_vols[i : i + 8]
+                current_dis_vols = dis_vols[i : i + 8]
+                current_asp_flow_rates = asp_flow_rates[i : i + 8] if asp_flow_rates else None
+                current_asp_offset = offsets[i : i + 8] if offsets else [None] * 8
+                current_dis_offset = offsets[i : i + 8] if offsets else [None] * 8
+                current_asp_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                current_dis_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                current_asp_blow_out_air_volume = blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
+                current_dis_blow_out_air_volume = blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
+                current_dis_flow_rates = dis_flow_rates[i : i + 8] if dis_flow_rates else None
 
                 if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
                     await self.mix(
@@ -1275,7 +1430,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
                 await self.touch_tip(current_targets)
-                await self.discard_tips([0,1,2,3,4,5,6,7])
+                await self.discard_tips([0, 1, 2, 3, 4, 5, 6, 7])
 
     async def _transfer_one_to_many(
         self,
@@ -1324,7 +1479,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         targets=[target],
                         mix_time=mix_times,
                         mix_vol=mix_vol,
-                        offsets=offsets[idx:idx + 1] if offsets and len(offsets) > idx else None,
+                        offsets=offsets[idx : idx + 1] if offsets and len(offsets) > idx else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
                     )
@@ -1337,7 +1492,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 flow_rates=[asp_flow_rates[0]] if asp_flow_rates and len(asp_flow_rates) > 0 else None,
                 offsets=[offsets[0]] if offsets and len(offsets) > 0 else None,
                 liquid_height=[liquid_height[0]] if liquid_height and len(liquid_height) > 0 else None,
-                blow_out_air_volume=[blow_out_air_volume[0]] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None,
+                blow_out_air_volume=(
+                    [blow_out_air_volume[0]] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
+                ),
                 spread=spread,
             )
 
@@ -1352,7 +1509,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     use_channels=use_channels,
                     flow_rates=[dis_flow_rates[idx]] if dis_flow_rates and len(dis_flow_rates) > idx else None,
                     offsets=[offsets[idx]] if offsets and len(offsets) > idx else None,
-                    blow_out_air_volume=[blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None,
+                    blow_out_air_volume=(
+                        [blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None
+                    ),
                     liquid_height=[liquid_height[idx]] if liquid_height and len(liquid_height) > idx else None,
                     spread=spread,
                 )
@@ -1363,7 +1522,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                         targets=[target],
                         mix_time=mix_times,
                         mix_vol=mix_vol,
-                        offsets=offsets[idx:idx+1] if offsets else None,
+                        offsets=offsets[idx : idx + 1] if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
                     )
@@ -1384,21 +1543,29 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
-                current_targets = targets[i:i + 8]
-                current_dis_vols = dis_vols[i:i + 8]
+                current_targets = targets[i : i + 8]
+                current_dis_vols = dis_vols[i : i + 8]
 
                 # 8个通道都从同一个源容器吸液，每个通道的吸液体积等于对应的分液体积
-                current_asp_flow_rates = asp_flow_rates[0:1] * 8 if asp_flow_rates and len(asp_flow_rates) > 0 else None
+                current_asp_flow_rates = (
+                    asp_flow_rates[0:1] * 8 if asp_flow_rates and len(asp_flow_rates) > 0 else None
+                )
                 current_asp_offset = offsets[0:1] * 8 if offsets and len(offsets) > 0 else [None] * 8
-                current_asp_liquid_height = liquid_height[0:1] * 8 if liquid_height and len(liquid_height) > 0 else [None] * 8
-                current_asp_blow_out_air_volume = blow_out_air_volume[0:1] * 8 if blow_out_air_volume and len(blow_out_air_volume) > 0 else [None] * 8
+                current_asp_liquid_height = (
+                    liquid_height[0:1] * 8 if liquid_height and len(liquid_height) > 0 else [None] * 8
+                )
+                current_asp_blow_out_air_volume = (
+                    blow_out_air_volume[0:1] * 8
+                    if blow_out_air_volume and len(blow_out_air_volume) > 0
+                    else [None] * 8
+                )
 
                 if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
                     await self.mix(
                         targets=current_targets,
                         mix_time=mix_times,
                         mix_vol=mix_vol,
-                        offsets=offsets[i:i + 8] if offsets else None,
+                        offsets=offsets[i : i + 8] if offsets else None,
                         height_to_bottom=mix_liquid_height if mix_liquid_height else None,
                         mix_rate=mix_rate if mix_rate else None,
                     )
@@ -1419,10 +1586,10 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     await self.custom_delay(seconds=delays[0])
 
                 # 分液到8个目标
-                current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
-                current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
-                current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
+                current_dis_flow_rates = dis_flow_rates[i : i + 8] if dis_flow_rates else None
+                current_dis_offset = offsets[i : i + 8] if offsets else [None] * 8
+                current_dis_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                current_dis_blow_out_air_volume = blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
 
                 await self.dispense(
                     resources=current_targets,
@@ -1451,7 +1618,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 if touch_tip:
                     await self.touch_tip(current_targets)
 
-                await self.discard_tips([0,1,2,3,4,5,6,7])
+                await self.discard_tips([0, 1, 2, 3, 4, 5, 6, 7])
 
     async def _transfer_many_to_one(
         self,
@@ -1524,7 +1691,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     flow_rates=[asp_flow_rates[idx]] if asp_flow_rates and len(asp_flow_rates) > idx else None,
                     offsets=[offsets[idx]] if offsets and len(offsets) > idx else None,
                     liquid_height=[liquid_height[idx]] if liquid_height and len(liquid_height) > idx else None,
-                    blow_out_air_volume=[blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None,
+                    blow_out_air_volume=(
+                        [blow_out_air_volume[idx]] if blow_out_air_volume and len(blow_out_air_volume) > idx else None
+                    ),
                     spread=spread,
                 )
 
@@ -1538,14 +1707,18 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     dis_flow_rate = dis_flow_rates[idx] if dis_flow_rates and len(dis_flow_rates) > idx else None
                     dis_offset = offsets[idx] if offsets and len(offsets) > idx else None
                     dis_liquid_height = liquid_height[idx] if liquid_height and len(liquid_height) > idx else None
-                    dis_blow_out = blow_out_air_volume[idx] if blow_out_air_volume and len(blow_out_air_volume) > idx else None
+                    dis_blow_out = (
+                        blow_out_air_volume[idx] if blow_out_air_volume and len(blow_out_air_volume) > idx else None
+                    )
                 else:
                     # 标准模式：分液体积等于吸液体积
                     dis_vol = asp_vols[idx]
                     dis_flow_rate = dis_flow_rates[0] if dis_flow_rates and len(dis_flow_rates) > 0 else None
                     dis_offset = offsets[0] if offsets and len(offsets) > 0 else None
                     dis_liquid_height = liquid_height[0] if liquid_height and len(liquid_height) > 0 else None
-                    dis_blow_out = blow_out_air_volume[0] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
+                    dis_blow_out = (
+                        blow_out_air_volume[0] if blow_out_air_volume and len(blow_out_air_volume) > 0 else None
+                    )
 
                 await self.dispense(
                     resources=[target],
@@ -1599,12 +1772,12 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                     tip.extend(next(self.current_tip))
                 await self.pick_up_tips(tip)
 
-                current_sources = sources[i:i + 8]
-                current_asp_vols = asp_vols[i:i + 8]
-                current_asp_flow_rates = asp_flow_rates[i:i + 8] if asp_flow_rates else None
-                current_asp_offset = offsets[i:i + 8] if offsets else [None] * 8
-                current_asp_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                current_asp_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
+                current_sources = sources[i : i + 8]
+                current_asp_vols = asp_vols[i : i + 8]
+                current_asp_flow_rates = asp_flow_rates[i : i + 8] if asp_flow_rates else None
+                current_asp_offset = offsets[i : i + 8] if offsets else [None] * 8
+                current_asp_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                current_asp_blow_out_air_volume = blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
 
                 # 从8个源容器吸液
                 await self.aspirate(
@@ -1624,18 +1797,22 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 # 分液到目标容器（每个通道分液到同一个目标）
                 if use_proportional_mixing:
                     # 按比例混合：使用对应的 dis_vols
-                    current_dis_vols = dis_vols[i:i + 8]
-                    current_dis_flow_rates = dis_flow_rates[i:i + 8] if dis_flow_rates else None
-                    current_dis_offset = offsets[i:i + 8] if offsets else [None] * 8
-                    current_dis_liquid_height = liquid_height[i:i + 8] if liquid_height else [None] * 8
-                    current_dis_blow_out_air_volume = blow_out_air_volume[i:i + 8] if blow_out_air_volume else [None] * 8
+                    current_dis_vols = dis_vols[i : i + 8]
+                    current_dis_flow_rates = dis_flow_rates[i : i + 8] if dis_flow_rates else None
+                    current_dis_offset = offsets[i : i + 8] if offsets else [None] * 8
+                    current_dis_liquid_height = liquid_height[i : i + 8] if liquid_height else [None] * 8
+                    current_dis_blow_out_air_volume = (
+                        blow_out_air_volume[i : i + 8] if blow_out_air_volume else [None] * 8
+                    )
                 else:
                     # 标准模式：每个通道分液体积等于其吸液体积
                     current_dis_vols = current_asp_vols
                     current_dis_flow_rates = dis_flow_rates[0:1] * 8 if dis_flow_rates else None
                     current_dis_offset = offsets[0:1] * 8 if offsets else [None] * 8
                     current_dis_liquid_height = liquid_height[0:1] * 8 if liquid_height else [None] * 8
-                    current_dis_blow_out_air_volume = blow_out_air_volume[0:1] * 8 if blow_out_air_volume else [None] * 8
+                    current_dis_blow_out_air_volume = (
+                        blow_out_air_volume[0:1] * 8 if blow_out_air_volume else [None] * 8
+                    )
 
                 await self.dispense(
                     resources=[target] * 8,  # 8个通道都分到同一个目标
@@ -1651,7 +1828,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 if delays is not None and len(delays) > 1:
                     await self.custom_delay(seconds=delays[1])
 
-                await self.discard_tips([0,1,2,3,4,5,6,7])
+                await self.discard_tips([0, 1, 2, 3, 4, 5, 6, 7])
 
             # 最后在目标容器中混合（如果需要）
             if mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0:
@@ -1671,7 +1848,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
     #     traceback.print_exc()
     #     raise RuntimeError(f"Liquid addition failed: {e}") from e
 
-
     # ---------------------------------------------------------------
     # Helper utilities
     # ---------------------------------------------------------------
@@ -1692,7 +1868,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
                 print(f"Current time: {time.strftime('%H:%M:%S')}")
 
     async def touch_tip(self, targets: Sequence[Container]):
-
         """Touch the tip to the side of the well."""
 
         if not self.support_touch_tip:

unilabos/devices/liquid_handling/prcxi/prcxi.py

@@ -30,9 +30,31 @@ from pylabrobot.liquid_handling.standard import (
     ResourceMove,
     ResourceDrop,
 )
-from pylabrobot.resources import ResourceHolder, ResourceStack, Tip, Deck, Plate, Well, TipRack, Resource, Container, Coordinate, TipSpot, Trash, PlateAdapter, TubeRack
+from pylabrobot.resources import (
+    ResourceHolder,
+    ResourceStack,
+    Tip,
+    Deck,
+    Plate,
+    Well,
+    TipRack,
+    Resource,
+    Container,
+    Coordinate,
+    TipSpot,
+    Trash,
+    PlateAdapter,
+    TubeRack,
+)
 
-from unilabos.devices.liquid_handling.liquid_handler_abstract import LiquidHandlerAbstract, SimpleReturn
+from unilabos.devices.liquid_handling.liquid_handler_abstract import (
+    LiquidHandlerAbstract,
+    SimpleReturn,
+    SetLiquidReturn,
+    SetLiquidFromPlateReturn,
+    TransferLiquidReturn,
+)
+from unilabos.registry.placeholder_type import ResourceSlot
 from unilabos.ros.nodes.base_device_node import BaseROS2DeviceNode
 
 
@@ -80,6 +102,7 @@ class PRCXI9300Deck(Deck):
         self.slots[slot - 1] = resource
         super().assign_child_resource(resource, location=self.slot_locations[slot - 1])
 
+
 class PRCXI9300Container(Plate):
     """PRCXI 9300 的专用 Container 类，继承自 Plate，用于槽位定位和未知模块。
 
@@ -109,73 +132,80 @@ class PRCXI9300Container(Plate):
         data = super().serialize_state()
         data.update(self._unilabos_state)
         return data
+
+
 class PRCXI9300Plate(Plate):
     """
     专用孔板类：
     1. 继承自 PLR 原生 Plate，保留所有物理特性。
     2. 增加 material_info 参数，用于在初始化时直接绑定 Unilab UUID。
     """
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float, 
-                 category: str = "plate", 
-                 ordered_items: collections.OrderedDict = None, 
-                 ordering: Optional[collections.OrderedDict] = None,
-                 model: Optional[str] = None, 
-                 material_info: Optional[Dict[str, Any]] = None, 
-                 **kwargs):
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "plate",
+        ordered_items: collections.OrderedDict = None,
+        ordering: Optional[collections.OrderedDict] = None,
+        model: Optional[str] = None,
+        material_info: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ):
         # 如果 ordered_items 不为 None，直接使用
+        items = None
+        ordering_param = None
         if ordered_items is not None:
             items = ordered_items
         elif ordering is not None:
             # 检查 ordering 中的值是否是字符串（从 JSON 反序列化时的情况）
             # 如果是字符串，说明这是位置名称，需要让 Plate 自己创建 Well 对象
             # 我们只传递位置信息（键），不传递值，使用 ordering 参数
-            if ordering and isinstance(next(iter(ordering.values()), None), str):
-                # ordering 的值是字符串，只使用键（位置信息）创建新的 OrderedDict
-                # 传递 ordering 参数而不是 ordered_items，让 Plate 自己创建 Well 对象
-                items = None
-                # 使用 ordering 参数，只包含位置信息（键）
-                ordering_param = collections.OrderedDict((k, None) for k in ordering.keys())
+            if ordering:
+                values = list(ordering.values())
+                value = values[0]
+                if isinstance(value, str):
+                    # ordering 的值是字符串，只使用键（位置信息）创建新的 OrderedDict
+                    # 传递 ordering 参数而不是 ordered_items，让 Plate 自己创建 Well 对象
+                    items = None
+                    # 使用 ordering 参数，只包含位置信息（键）
+                    ordering_param = collections.OrderedDict((k, None) for k in ordering.keys())
+                elif value is None:
+                    ordering_param = ordering
             else:
                 # ordering 的值已经是对象，可以直接使用
                 items = ordering
                 ordering_param = None
-        else:
-            items = None
-            ordering_param = None
 
         # 根据情况传递不同的参数
         if items is not None:
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordered_items=items,
-                             category=category,
-                             model=model, **kwargs)
+            super().__init__(
+                name, size_x, size_y, size_z, ordered_items=items, category=category, model=model, **kwargs
+            )
         elif ordering_param is not None:
             # 传递 ordering 参数，让 Plate 自己创建 Well 对象
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordering=ordering_param,
-                             category=category,
-                             model=model, **kwargs)
+            super().__init__(
+                name, size_x, size_y, size_z, ordering=ordering_param, category=category, model=model, **kwargs
+            )
         else:
-            super().__init__(name, size_x, size_y, size_z, 
-                             category=category,
-                             model=model, **kwargs)
+            super().__init__(name, size_x, size_y, size_z, category=category, model=model, **kwargs)
 
         self._unilabos_state = {}
         if material_info:
             self._unilabos_state["Material"] = material_info
 
-
     def load_state(self, state: Dict[str, Any]) -> None:
         super().load_state(state)
         self._unilabos_state = state
 
-
     def serialize_state(self) -> Dict[str, Dict[str, Any]]:
         try:
             data = super().serialize_state()
         except AttributeError:
             data = {}
-        if hasattr(self, '_unilabos_state') and self._unilabos_state:
+        if hasattr(self, "_unilabos_state") and self._unilabos_state:
             safe_state = {}
             for k, v in self._unilabos_state.items():
                 # 如果是 Material 字典，深入检查
@@ -195,16 +225,25 @@ class PRCXI9300Plate(Plate):
                     safe_state[k] = v
 
             data.update(safe_state)
-        return data            # 其他顶层属性也进行类型检查
+        return data  # 其他顶层属性也进行类型检查
+
+
 class PRCXI9300TipRack(TipRack):
-    """ 专用吸头盒类 """
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float, 
-                 category: str = "tip_rack", 
-                 ordered_items: collections.OrderedDict = None, 
-                 ordering: Optional[collections.OrderedDict] = None,
-                 model: Optional[str] = None,
-                 material_info: Optional[Dict[str, Any]] = None,
-                 **kwargs):
+    """专用吸头盒类"""
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "tip_rack",
+        ordered_items: collections.OrderedDict = None,
+        ordering: Optional[collections.OrderedDict] = None,
+        model: Optional[str] = None,
+        material_info: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ):
         # 如果 ordered_items 不为 None，直接使用
         if ordered_items is not None:
             items = ordered_items
@@ -228,20 +267,16 @@ class PRCXI9300TipRack(TipRack):
 
         # 根据情况传递不同的参数
         if items is not None:
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordered_items=items,
-                             category=category, 
-                             model=model, **kwargs)
+            super().__init__(
+                name, size_x, size_y, size_z, ordered_items=items, category=category, model=model, **kwargs
+            )
         elif ordering_param is not None:
             # 传递 ordering 参数，让 TipRack 自己创建 Tip 对象
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordering=ordering_param,
-                             category=category, 
-                             model=model, **kwargs)
+            super().__init__(
+                name, size_x, size_y, size_z, ordering=ordering_param, category=category, model=model, **kwargs
+            )
         else:
-            super().__init__(name, size_x, size_y, size_z, 
-                             category=category, 
-                             model=model, **kwargs)
+            super().__init__(name, size_x, size_y, size_z, category=category, model=model, **kwargs)
         self._unilabos_state = {}
         if material_info:
             self._unilabos_state["Material"] = material_info
@@ -255,7 +290,7 @@ class PRCXI9300TipRack(TipRack):
             data = super().serialize_state()
         except AttributeError:
             data = {}
-        if hasattr(self, '_unilabos_state') and self._unilabos_state:
+        if hasattr(self, "_unilabos_state") and self._unilabos_state:
             safe_state = {}
             for k, v in self._unilabos_state.items():
                 # 如果是 Material 字典，深入检查
@@ -277,16 +312,23 @@ class PRCXI9300TipRack(TipRack):
             data.update(safe_state)
         return data
 
+
 class PRCXI9300Trash(Trash):
     """PRCXI 9300 的专用 Trash 类，继承自 Trash。
 
     该类定义了 PRCXI 9300 的工作台布局和槽位信息。
     """
 
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float, 
-                 category: str = "trash", 
-                 material_info: Optional[Dict[str, Any]] = None,
-                 **kwargs):
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "trash",
+        material_info: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ):
 
         if name != "trash":
             print(f"Warning: PRCXI9300Trash usually expects name='trash' for backend logic, but got '{name}'.")
@@ -306,7 +348,7 @@ class PRCXI9300Trash(Trash):
             data = super().serialize_state()
         except AttributeError:
             data = {}
-        if hasattr(self, '_unilabos_state') and self._unilabos_state:
+        if hasattr(self, "_unilabos_state") and self._unilabos_state:
             safe_state = {}
             for k, v in self._unilabos_state.items():
                 # 如果是 Material 字典，深入检查
@@ -328,19 +370,27 @@ class PRCXI9300Trash(Trash):
             data.update(safe_state)
         return data
 
+
 class PRCXI9300TubeRack(TubeRack):
     """
     专用管架类：用于 EP 管架、试管架等。
     继承自 PLR 的 TubeRack，并支持注入 material_info (UUID)。
     """
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float, 
-                 category: str = "tube_rack", 
-                 items: Optional[Dict[str, Any]] = None,
-                 ordered_items: Optional[OrderedDict] = None,
-                 ordering: Optional[OrderedDict] = None,
-                 model: Optional[str] = None,
-                 material_info: Optional[Dict[str, Any]] = None, 
-                 **kwargs):
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "tube_rack",
+        items: Optional[Dict[str, Any]] = None,
+        ordered_items: Optional[OrderedDict] = None,
+        ordering: Optional[OrderedDict] = None,
+        model: Optional[str] = None,
+        material_info: Optional[Dict[str, Any]] = None,
+        **kwargs,
+    ):
 
         # 如果 ordered_items 不为 None，直接使用
         if ordered_items is not None:
@@ -370,20 +420,12 @@ class PRCXI9300TubeRack(TubeRack):
 
         # 根据情况传递不同的参数
         if items_to_pass is not None:
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordered_items=items_to_pass, 
-                             model=model, 
-                             **kwargs)
+            super().__init__(name, size_x, size_y, size_z, ordered_items=items_to_pass, model=model, **kwargs)
         elif ordering_param is not None:
             # 传递 ordering 参数，让 TubeRack 自己创建 Tube 对象
-            super().__init__(name, size_x, size_y, size_z, 
-                             ordering=ordering_param,
-                             model=model, 
-                             **kwargs)
+            super().__init__(name, size_x, size_y, size_z, ordering=ordering_param, model=model, **kwargs)
         else:
-            super().__init__(name, size_x, size_y, size_z, 
-                             model=model, 
-                             **kwargs)
+            super().__init__(name, size_x, size_y, size_z, model=model, **kwargs)
 
         self._unilabos_state = {}
         if material_info:
@@ -394,7 +436,7 @@ class PRCXI9300TubeRack(TubeRack):
             data = super().serialize_state()
         except AttributeError:
             data = {}
-        if hasattr(self, '_unilabos_state') and self._unilabos_state:
+        if hasattr(self, "_unilabos_state") and self._unilabos_state:
             safe_state = {}
             for k, v in self._unilabos_state.items():
                 # 如果是 Material 字典，深入检查
@@ -416,23 +458,31 @@ class PRCXI9300TubeRack(TubeRack):
             data.update(safe_state)
         return data
 
+
 class PRCXI9300PlateAdapter(PlateAdapter):
     """
     专用板式适配器类：用于承载 Plate 的底座（如 PCR 适配器、磁吸架等）。
     支持注入 material_info (UUID)。
     """
-    def __init__(self, name: str, size_x: float, size_y: float, size_z: float, 
-                 category: str = "plate_adapter", 
-                 model: Optional[str] = None,
-                 material_info: Optional[Dict[str, Any]] = None, 
-                 # 参数给予默认值 (标准96孔板尺寸)
-                 adapter_hole_size_x: float = 127.76, 
-                 adapter_hole_size_y: float = 85.48, 
-                 adapter_hole_size_z: float = 10.0, # 假设凹槽深度或板子放置高度
-                 dx: Optional[float] = None,
-                 dy: Optional[float] = None,
-                 dz: float = 0.0, # 默认Z轴偏移
-                 **kwargs):
+
+    def __init__(
+        self,
+        name: str,
+        size_x: float,
+        size_y: float,
+        size_z: float,
+        category: str = "plate_adapter",
+        model: Optional[str] = None,
+        material_info: Optional[Dict[str, Any]] = None,
+        # 参数给予默认值 (标准96孔板尺寸)
+        adapter_hole_size_x: float = 127.76,
+        adapter_hole_size_y: float = 85.48,
+        adapter_hole_size_z: float = 10.0,  # 假设凹槽深度或板子放置高度
+        dx: Optional[float] = None,
+        dy: Optional[float] = None,
+        dz: float = 0.0,  # 默认Z轴偏移
+        **kwargs,
+    ):
 
         # 自动居中计算：如果未指定 dx/dy，则根据适配器尺寸和孔尺寸计算居中位置
         if dx is None:
@@ -452,7 +502,7 @@ class PRCXI9300PlateAdapter(PlateAdapter):
             adapter_hole_size_y=adapter_hole_size_y,
             adapter_hole_size_z=adapter_hole_size_z,
             model=model,
-            **kwargs
+            **kwargs,
         )
 
         self._unilabos_state = {}
@@ -464,7 +514,7 @@ class PRCXI9300PlateAdapter(PlateAdapter):
             data = super().serialize_state()
         except AttributeError:
             data = {}
-        if hasattr(self, '_unilabos_state') and self._unilabos_state:
+        if hasattr(self, "_unilabos_state") and self._unilabos_state:
             safe_state = {}
             for k, v in self._unilabos_state.items():
                 # 如果是 Material 字典，深入检查
@@ -486,6 +536,7 @@ class PRCXI9300PlateAdapter(PlateAdapter):
             data.update(safe_state)
         return data
 
+
 class PRCXI9300Handler(LiquidHandlerAbstract):
     support_touch_tip = False
 
@@ -518,7 +569,9 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
                 if "Material" in child.children[0]._unilabos_state:
                     number = int(child.name.replace("T", ""))
                     tablets_info.append(
-                        WorkTablets(Number=number, Code=f"T{number}", Material=child.children[0]._unilabos_state["Material"])
+                        WorkTablets(
+                            Number=number, Code=f"T{number}", Material=child.children[0]._unilabos_state["Material"]
+                        )
                     )
         if is_9320:
             print("当前设备是9320")
@@ -538,9 +591,14 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
         super().post_init(ros_node)
         self._unilabos_backend.post_init(ros_node)
 
-    def set_liquid(self, wells: list[Well], liquid_names: list[str], volumes: list[float]) -> SimpleReturn:
+    def set_liquid(self, wells: list[Well], liquid_names: list[str], volumes: list[float]) -> SetLiquidReturn:
         return super().set_liquid(wells, liquid_names, volumes)
 
+    def set_liquid_from_plate(
+        self, plate: List[ResourceSlot], well_names: list[str], liquid_names: list[str], volumes: list[float]
+    ) -> SetLiquidFromPlateReturn:
+        return super().set_liquid_from_plate(plate, well_names, liquid_names, volumes)
+
     def set_group(self, group_name: str, wells: List[Well], volumes: List[float]):
         return super().set_group(group_name, wells, volumes)
 
@@ -660,7 +718,7 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
         mix_liquid_height: Optional[float] = None,
         delays: Optional[List[int]] = None,
         none_keys: List[str] = [],
-    ):
+    ) -> TransferLiquidReturn:
         return await super().transfer_liquid(
             sources,
             targets,
@@ -800,6 +858,7 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
 
     async def heater_action(self, temperature: float, time: int):
         return await self._unilabos_backend.heater_action(temperature, time)
+
     async def move_plate(
         self,
         plate: Plate,
@@ -822,10 +881,11 @@ class PRCXI9300Handler(LiquidHandlerAbstract):
             drop_direction,
             pickup_direction,
             pickup_distance_from_top,
-            target_plate_number = to,
+            target_plate_number=to,
             **backend_kwargs,
         )
 
+
 class PRCXI9300Backend(LiquidHandlerBackend):
     """PRCXI 9300 的后端实现，继承自 LiquidHandlerBackend。
 
@@ -878,13 +938,12 @@ class PRCXI9300Backend(LiquidHandlerBackend):
         self.steps_todo_list.append(step)
         return step
 
-
     async def pick_up_resource(self, pickup: ResourcePickup, **backend_kwargs):
 
-        resource=pickup.resource
-        offset=pickup.offset
-        pickup_distance_from_top=pickup.pickup_distance_from_top
-        direction=pickup.direction
+        resource = pickup.resource
+        offset = pickup.offset
+        pickup_distance_from_top = pickup.pickup_distance_from_top
+        direction = pickup.direction
 
         plate_number = int(resource.parent.name.replace("T", ""))
         is_whole_plate = True
@@ -896,13 +955,11 @@ class PRCXI9300Backend(LiquidHandlerBackend):
 
     async def drop_resource(self, drop: ResourceDrop, **backend_kwargs):
 
-
         plate_number = None
         target_plate_number = backend_kwargs.get("target_plate_number", None)
         if target_plate_number is not None:
             plate_number = int(target_plate_number.name.replace("T", ""))
 
-
         is_whole_plate = True
         balance_height = 0
         if plate_number is None:
@@ -911,7 +968,6 @@ class PRCXI9300Backend(LiquidHandlerBackend):
         self.steps_todo_list.append(step)
         return step
 
-
     async def heater_action(self, temperature: float, time: int):
         print(f"\n\nHeater action: temperature={temperature}, time={time}\n\n")
         # return await self.api_client.heater_action(temperature, time)
@@ -980,7 +1036,7 @@ class PRCXI9300Backend(LiquidHandlerBackend):
                 # 检查重置状态并等待完成
                 while not self.is_reset_ok:
                     print("Waiting for PRCXI9300 to reset...")
-                    if hasattr(self, '_ros_node') and self._ros_node is not None:
+                    if hasattr(self, "_ros_node") and self._ros_node is not None:
                         await self._ros_node.sleep(1)
                     else:
                         await asyncio.sleep(1)
@@ -998,7 +1054,7 @@ class PRCXI9300Backend(LiquidHandlerBackend):
         """Pick up tips from the specified resource."""
         # INSERT_YOUR_CODE
         # Ensure use_channels is converted to a list of ints if it's an array
-        if hasattr(use_channels, 'tolist'):
+        if hasattr(use_channels, "tolist"):
             _use_channels = use_channels.tolist()
         else:
             _use_channels = list(use_channels) if use_channels is not None else None
@@ -1052,7 +1108,7 @@ class PRCXI9300Backend(LiquidHandlerBackend):
 
     async def drop_tips(self, ops: List[Drop], use_channels: List[int] = None):
         """Pick up tips from the specified resource."""
-        if hasattr(use_channels, 'tolist'):
+        if hasattr(use_channels, "tolist"):
             _use_channels = use_channels.tolist()
         else:
             _use_channels = list(use_channels) if use_channels is not None else None
@@ -1178,7 +1234,7 @@ class PRCXI9300Backend(LiquidHandlerBackend):
 
     async def aspirate(self, ops: List[SingleChannelAspiration], use_channels: List[int] = None):
         """Aspirate liquid from the specified resources."""
-        if hasattr(use_channels, 'tolist'):
+        if hasattr(use_channels, "tolist"):
             _use_channels = use_channels.tolist()
         else:
             _use_channels = list(use_channels) if use_channels is not None else None
@@ -1235,7 +1291,7 @@ class PRCXI9300Backend(LiquidHandlerBackend):
 
     async def dispense(self, ops: List[SingleChannelDispense], use_channels: List[int] = None):
         """Dispense liquid into the specified resources."""
-        if hasattr(use_channels, 'tolist'):
+        if hasattr(use_channels, "tolist"):
             _use_channels = use_channels.tolist()
         else:
             _use_channels = list(use_channels) if use_channels is not None else None
@@ -1416,7 +1472,6 @@ class PRCXI9300Api:
                 time.sleep(1)
         return success
 
-
     def call(self, service: str, method: str, params: Optional[list] = None) -> Any:
         payload = json.dumps(
             {"ServiceName": service, "MethodName": method, "Paramters": params or []}, separators=(",", ":")
@@ -1543,7 +1598,7 @@ class PRCXI9300Api:
         assist_fun5: str = "",
         liquid_method: str = "NormalDispense",
         axis: str = "Left",
-        ) -> Dict[str, Any]:
+    ) -> Dict[str, Any]:
         return {
             "StepAxis": axis,
             "Function": "Imbibing",
@@ -1621,7 +1676,7 @@ class PRCXI9300Api:
         assist_fun5: str = "",
         liquid_method: str = "NormalDispense",
         axis: str = "Left",
-        ) -> Dict[str, Any]:
+    ) -> Dict[str, Any]:
         return {
             "StepAxis": axis,
             "Function": "Blending",
@@ -1681,11 +1736,11 @@ class PRCXI9300Api:
             "LiquidDispensingMethod": liquid_method,
         }
 
-    def clamp_jaw_pick_up(self,
+    def clamp_jaw_pick_up(
+        self,
         plate_no: int,
         is_whole_plate: bool,
         balance_height: int,
-
     ) -> Dict[str, Any]:
         return {
             "StepAxis": "ClampingJaw",
@@ -1695,7 +1750,7 @@ class PRCXI9300Api:
             "HoleRow": 1,
             "HoleCol": 1,
             "BalanceHeight": balance_height,
-            "PlateOrHoleNum": f"T{plate_no}"
+            "PlateOrHoleNum": f"T{plate_no}",
         }
 
     def clamp_jaw_drop(
@@ -1703,7 +1758,6 @@ class PRCXI9300Api:
         plate_no: int,
         is_whole_plate: bool,
         balance_height: int,
-
     ) -> Dict[str, Any]:
         return {
             "StepAxis": "ClampingJaw",
@@ -1713,7 +1767,7 @@ class PRCXI9300Api:
             "HoleRow": 1,
             "HoleCol": 1,
             "BalanceHeight": balance_height,
-            "PlateOrHoleNum": f"T{plate_no}"
+            "PlateOrHoleNum": f"T{plate_no}",
         }
 
     def shaker_action(self, time: int, module_no: int, amplitude: int, is_wait: bool):
@@ -1726,6 +1780,7 @@ class PRCXI9300Api:
             "AssistFun4": is_wait,
         }
 
+
 class DefaultLayout:
 
     def __init__(self, product_name: str = "PRCXI9300"):
@@ -2104,7 +2159,9 @@ if __name__ == "__main__":
             size_y=50,
             size_z=10,
             category="tip_rack",
-            ordered_items=collections.OrderedDict({k: f"{child_prefix}_{k}" for k, v in tip_racks["ordering"].items()}),
+            ordered_items=collections.OrderedDict(
+                {k: f"{child_prefix}_{k}" for k, v in tip_racks["ordering"].items()}
+            ),
         )
         tip_rack_serialized = tip_rack.serialize()
         tip_rack_serialized["parent_name"] = deck.name
@@ -2299,43 +2356,37 @@ if __name__ == "__main__":
 
     A = tree_to_list([resource_plr_to_ulab(deck)])
     with open("deck.json", "w", encoding="utf-8") as f:
-        A.insert(0, {
-            "id": "PRCXI",
-            "name": "PRCXI",
-            "parent": None,
-            "type": "device",
-            "class": "liquid_handler.prcxi",
-            "position": {
-                "x": 0,
-                "y": 0,
-                "z": 0
-            },
-            "config": {
-                "deck": {
-                    "_resource_child_name": "PRCXI_Deck",
-                    "_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck"
+        A.insert(
+            0,
+            {
+                "id": "PRCXI",
+                "name": "PRCXI",
+                "parent": None,
+                "type": "device",
+                "class": "liquid_handler.prcxi",
+                "position": {"x": 0, "y": 0, "z": 0},
+                "config": {
+                    "deck": {
+                        "_resource_child_name": "PRCXI_Deck",
+                        "_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
+                    },
+                    "host": "192.168.0.121",
+                    "port": 9999,
+                    "timeout": 10.0,
+                    "axis": "Right",
+                    "channel_num": 1,
+                    "setup": False,
+                    "debug": True,
+                    "simulator": True,
+                    "matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
+                    "is_9320": True,
                 },
-                "host": "192.168.0.121",
-                "port": 9999,
-                "timeout": 10.0,
-                "axis": "Right",
-                "channel_num": 1,
-                "setup": False,
-                "debug": True,
-                "simulator": True,
-                "matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
-                "is_9320": True
+                "data": {},
+                "children": ["PRCXI_Deck"],
             },
-            "data": {},
-            "children": [
-                "PRCXI_Deck"
-            ]
-        })
+        )
         A[1]["parent"] = "PRCXI"
-        json.dump({
-            "nodes": A,
-            "links": []
-        }, f, indent=4, ensure_ascii=False)
+        json.dump({"nodes": A, "links": []}, f, indent=4, ensure_ascii=False)
 
     handler = PRCXI9300Handler(
         deck=deck,
@@ -2377,7 +2428,6 @@ if __name__ == "__main__":
     time.sleep(5)
     os._exit(0)
 
-
     prcxi_api = PRCXI9300Api(host="192.168.0.121", port=9999)
     prcxi_api.list_matrices()
     prcxi_api.get_all_materials()

unilabos/registry/devices/liquid_handler.yaml

@@ -638,7 +638,7 @@ liquid_handler:
         placeholder_keys: {}
         result: {}
         schema:
-          description: 吸头迭代函数。用于自动管理和切换吸头架中的吸头，实现批量实验中的吸头自动分配和追踪。该函数监控吸头使用状态，自动切换到下一个可用吸头位置，确保实验流程的连续性。适用于高通量实验、批量处理、自动化流水线等需要大量吸头管理的应用场景。
+          description: 吸头迭代函数。用于自动管理和切换枪头盒中的吸头，实现批量实验中的吸头自动分配和追踪。该函数监控吸头使用状态，自动切换到下一个可用吸头位置，确保实验流程的连续性。适用于高通量实验、批量处理、自动化流水线等需要大量吸头管理的应用场景。
           properties:
             feedback: {}
             goal:
@@ -712,6 +712,43 @@ liquid_handler:
           title: set_group参数
           type: object
         type: UniLabJsonCommand
+      auto-set_liquid_from_plate:
+        feedback: {}
+        goal: {}
+        goal_default:
+          liquid_names: null
+          plate: null
+          volumes: null
+          well_names: null
+        handles: {}
+        placeholder_keys: {}
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                liquid_names:
+                  type: string
+                plate:
+                  type: string
+                volumes:
+                  type: string
+                well_names:
+                  type: string
+              required:
+              - plate
+              - well_names
+              - liquid_names
+              - volumes
+              type: object
+            result: {}
+          required:
+          - goal
+          title: set_liquid_from_plate参数
+          type: object
+        type: UniLabJsonCommand
       auto-set_tiprack:
         feedback: {}
         goal: {}
@@ -721,7 +758,7 @@ liquid_handler:
         placeholder_keys: {}
         result: {}
         schema:
-          description: 吸头架设置函数。用于配置和初始化液体处理系统的吸头架信息，包括吸头架位置、类型、容量等参数。该函数建立吸头资源管理系统，为后续的吸头选择和使用提供基础配置。适用于系统初始化、吸头架更换、实验配置等需要吸头资源管理的操作场景。
+          description: 枪头盒设置函数。用于配置和初始化液体处理系统的枪头盒信息，包括枪头盒位置、类型、容量等参数。该函数建立吸头资源管理系统，为后续的吸头选择和使用提供基础配置。适用于系统初始化、枪头盒更换、实验配置等需要吸头资源管理的操作场景。
           properties:
             feedback: {}
             goal:
@@ -4093,32 +4130,32 @@ liquid_handler:
           - 0
         handles:
           input:
-          - data_key: liquid
+          - data_key: sources
             data_source: handle
             data_type: resource
             handler_key: sources
-            label: sources
-          - data_key: liquid
-            data_source: executor
-            data_type: resource
-            handler_key: targets
-            label: targets
-          - data_key: liquid
-            data_source: executor
-            data_type: resource
-            handler_key: tip_rack
-            label: tip_rack
-          output:
-          - data_key: liquid
+            label: 待移动液体
+          - data_key: targets
             data_source: handle
             data_type: resource
+            handler_key: targets
+            label: 转移目标
+          - data_key: tip_racks
+            data_source: handle
+            data_type: resource
+            handler_key: tip_rack
+            label: 枪头盒
+          output:
+          - data_key: sources.@flatten
+            data_source: executor
+            data_type: resource
             handler_key: sources_out
-            label: sources
-          - data_key: liquid
+            label: 移液后源孔
+          - data_key: targets.@flatten
             data_source: executor
             data_type: resource
             handler_key: targets_out
-            label: targets
+            label: 移液后目标孔
         placeholder_keys:
           sources: unilabos_resources
           targets: unilabos_resources
@@ -5114,19 +5151,34 @@ liquid_handler.biomek:
           - 0
         handles:
           input:
-          - data_key: liquid
+          - data_key: sources
             data_source: handle
             data_type: resource
-            handler_key: liquid-input
+            handler_key: sources
             io_type: target
-            label: Liquid Input
+            label: 待移动液体
+          - data_key: targets
+            data_source: handle
+            data_type: resource
+            handler_key: targets
+            label: 转移目标
+          - data_key: tip_racks
+            data_source: handle
+            data_type: resource
+            handler_key: tip_rack
+            label: 枪头盒
           output:
-          - data_key: liquid
+          - data_key: sources.@flatten
             data_source: executor
             data_type: resource
-            handler_key: liquid-output
+            handler_key: sources_out
             io_type: source
-            label: Liquid Output
+            label: 移液后源孔
+          - data_key: targets.@flatten
+            data_source: executor
+            data_type: resource
+            handler_key: targets_out
+            label: 移液后目标孔
         placeholder_keys:
           sources: unilabos_resources
           targets: unilabos_resources
@@ -9284,7 +9336,13 @@ liquid_handler.prcxi:
             data_source: handle
             data_type: resource
             handler_key: input_wells
-            label: InputWells
+            label: 待设定液体孔
+          output:
+          - data_key: wells.@flatten
+            data_source: executor
+            data_type: resource
+            handler_key: output_wells
+            label: 已设定液体孔
         placeholder_keys:
           wells: unilabos_resources
         result: {}
@@ -9400,6 +9458,165 @@ liquid_handler.prcxi:
           title: LiquidHandlerSetLiquid
           type: object
         type: LiquidHandlerSetLiquid
+      set_liquid_from_plate:
+        feedback: {}
+        goal: {}
+        goal_default:
+          liquid_names: null
+          plate: null
+          volumes: null
+          well_names: null
+        handles:
+          input:
+          - data_key: plate
+            data_source: handle
+            data_type: resource
+            handler_key: input_plate
+            label: 待设定液体板
+          output:
+          - data_key: plate.@flatten
+            data_source: executor
+            data_type: resource
+            handler_key: output_plate
+            label: 已设定液体板
+          - data_key: wells.@flatten
+            data_source: executor
+            data_type: resource
+            handler_key: output_wells
+            label: 已设定液体孔
+          - data_key: volumes
+            data_source: executor
+            data_type: number_array
+            handler_key: output_volumes
+            label: 各孔设定体积
+        placeholder_keys:
+          plate: unilabos_resources
+        result: {}
+        schema:
+          description: ''
+          properties:
+            feedback: {}
+            goal:
+              properties:
+                liquid_names:
+                  items:
+                    type: string
+                  type: array
+                plate:
+                  items:
+                    properties:
+                      category:
+                        type: string
+                      children:
+                        items:
+                          type: string
+                        type: array
+                      config:
+                        type: string
+                      data:
+                        type: string
+                      id:
+                        type: string
+                      name:
+                        type: string
+                      parent:
+                        type: string
+                      pose:
+                        properties:
+                          orientation:
+                            properties:
+                              w:
+                                type: number
+                              x:
+                                type: number
+                              y:
+                                type: number
+                              z:
+                                type: number
+                            required:
+                            - x
+                            - y
+                            - z
+                            - w
+                            title: orientation
+                            type: object
+                          position:
+                            properties:
+                              x:
+                                type: number
+                              y:
+                                type: number
+                              z:
+                                type: number
+                            required:
+                            - x
+                            - y
+                            - z
+                            title: position
+                            type: object
+                        required:
+                        - position
+                        - orientation
+                        title: pose
+                        type: object
+                      sample_id:
+                        type: string
+                      type:
+                        type: string
+                    required:
+                    - id
+                    - name
+                    - sample_id
+                    - children
+                    - parent
+                    - type
+                    - category
+                    - pose
+                    - config
+                    - data
+                    title: plate
+                    type: object
+                  title: plate
+                  type: array
+                volumes:
+                  items:
+                    type: number
+                  type: array
+                well_names:
+                  items:
+                    type: string
+                  type: array
+              required:
+              - plate
+              - well_names
+              - liquid_names
+              - volumes
+              type: object
+            result:
+              properties:
+                plate:
+                  items: {}
+                  title: Plate
+                  type: array
+                volumes:
+                  items: {}
+                  title: Volumes
+                  type: array
+                wells:
+                  items: {}
+                  title: Wells
+                  type: array
+              required:
+              - plate
+              - wells
+              - volumes
+              title: SetLiquidFromPlateReturn
+              type: object
+          required:
+          - goal
+          title: set_liquid_from_plate参数
+          type: object
+        type: UniLabJsonCommand
       set_tiprack:
         feedback: {}
         goal:
@@ -9745,32 +9962,32 @@ liquid_handler.prcxi:
           - 0
         handles:
           input:
-          - data_key: liquid
+          - data_key: sources
             data_source: handle
             data_type: resource
-            handler_key: sources
-            label: sources
-          - data_key: liquid
-            data_source: executor
+            handler_key: sources_identifier
+            label: 待移动液体
+          - data_key: targets
+            data_source: handle
             data_type: resource
-            handler_key: targets
-            label: targets
-          - data_key: liquid
-            data_source: executor
+            handler_key: targets_identifier
+            label: 转移目标
+          - data_key: tip_rack
+            data_source: handle
             data_type: resource
-            handler_key: tip_rack
-            label: tip_rack
+            handler_key: tip_rack_identifier
+            label: 枪头盒
           output:
-          - data_key: liquid
-            data_source: handle
+          - data_key: sources.@flatten
+            data_source: executor
             data_type: resource
             handler_key: sources_out
-            label: sources
-          - data_key: liquid
+            label: 移液后源孔
+          - data_key: targets.@flatten
             data_source: executor
             data_type: resource
             handler_key: targets_out
-            label: targets
+            label: 移液后目标孔
         placeholder_keys:
           sources: unilabos_resources
           targets: unilabos_resources

unilabos/registry/registry.py

@@ -4,6 +4,8 @@ import os
 import sys
 import inspect
 import importlib
+import threading
+from concurrent.futures import ThreadPoolExecutor, as_completed
 from pathlib import Path
 from typing import Any, Dict, List, Union, Tuple
 
@@ -60,6 +62,7 @@ class Registry:
         self.device_module_to_registry = {}
         self.resource_type_registry = {}
         self._setup_called = False  # 跟踪setup是否已调用
+        self._registry_lock = threading.Lock()  # 多线程加载时的锁
         # 其他状态变量
         # self.is_host_mode = False  # 移至BasicConfig中
 
@@ -163,6 +166,7 @@ class Registry:
                                     "res_id": "unilabos_resources",  # 将当前实验室的全部物料id作为下拉框可选择
                                     "device_id": "unilabos_devices",  # 将当前实验室的全部设备id作为下拉框可选择
                                     "parent": "unilabos_nodes",  # 将当前实验室的设备/物料作为下拉框可选择
+                                    "class_name": "unilabos_class",
                                 },
                             },
                             "test_latency": {
@@ -176,8 +180,7 @@ class Registry:
                                 "result": {},
                                 "schema": test_latency_schema,
                                 "goal_default": {
-                                    arg["name"]: arg["default"]
-                                    for arg in test_latency_method_info.get("args", [])
+                                    arg["name"]: arg["default"] for arg in test_latency_method_info.get("args", [])
                                 },
                                 "handles": {},
                             },
@@ -261,67 +264,115 @@ class Registry:
         # 标记setup已被调用
         self._setup_called = True
 
+    def _load_single_resource_file(
+        self, file: Path, complete_registry: bool, upload_registry: bool
+    ) -> Tuple[Dict[str, Any], Dict[str, Any], bool]:
+        """
+        加载单个资源文件 (线程安全)
+
+        Returns:
+            (data, complete_data, is_valid): 资源数据, 完整数据, 是否有效
+        """
+        try:
+            with open(file, encoding="utf-8", mode="r") as f:
+                data = yaml.safe_load(io.StringIO(f.read()))
+        except Exception as e:
+            logger.warning(f"[UniLab Registry] 读取资源文件失败: {file}, 错误: {e}")
+            return {}, {}, False
+
+        if not data:
+            return {}, {}, False
+
+        complete_data = {}
+        for resource_id, resource_info in data.items():
+            if "version" not in resource_info:
+                resource_info["version"] = "1.0.0"
+            if "category" not in resource_info:
+                resource_info["category"] = [file.stem]
+            elif file.stem not in resource_info["category"]:
+                resource_info["category"].append(file.stem)
+            elif not isinstance(resource_info.get("category"), list):
+                resource_info["category"] = [resource_info["category"]]
+            if "config_info" not in resource_info:
+                resource_info["config_info"] = []
+            if "icon" not in resource_info:
+                resource_info["icon"] = ""
+            if "handles" not in resource_info:
+                resource_info["handles"] = []
+            if "init_param_schema" not in resource_info:
+                resource_info["init_param_schema"] = {}
+            if "config_info" in resource_info:
+                del resource_info["config_info"]
+            if "file_path" in resource_info:
+                del resource_info["file_path"]
+            complete_data[resource_id] = copy.deepcopy(dict(sorted(resource_info.items())))
+            if upload_registry:
+                class_info = resource_info.get("class", {})
+                if len(class_info) and "module" in class_info:
+                    if class_info.get("type") == "pylabrobot":
+                        res_class = get_class(class_info["module"])
+                        if callable(res_class) and not isinstance(res_class, type):
+                            res_instance = res_class(res_class.__name__)
+                            res_ulr = tree_to_list([resource_plr_to_ulab(res_instance)])
+                            resource_info["config_info"] = res_ulr
+            resource_info["registry_type"] = "resource"
+            resource_info["file_path"] = str(file.absolute()).replace("\\", "/")
+
+        complete_data = dict(sorted(complete_data.items()))
+        complete_data = copy.deepcopy(complete_data)
+
+        if complete_registry:
+            try:
+                with open(file, "w", encoding="utf-8") as f:
+                    yaml.dump(complete_data, f, allow_unicode=True, default_flow_style=False, Dumper=NoAliasDumper)
+            except Exception as e:
+                logger.warning(f"[UniLab Registry] 写入资源文件失败: {file}, 错误: {e}")
+
+        return data, complete_data, True
+
     def load_resource_types(self, path: os.PathLike, complete_registry: bool, upload_registry: bool):
         abs_path = Path(path).absolute()
         resource_path = abs_path / "resources"
         files = list(resource_path.glob("*/*.yaml"))
-        logger.trace(f"[UniLab Registry] load resources? {resource_path.exists()}, total: {len(files)}")
-        current_resource_number = len(self.resource_type_registry) + 1
-        for i, file in enumerate(files):
-            with open(file, encoding="utf-8", mode="r") as f:
-                data = yaml.safe_load(io.StringIO(f.read()))
-            complete_data = {}
-            if data:
-                # 为每个资源添加文件路径信息
-                for resource_id, resource_info in data.items():
-                    if "version" not in resource_info:
-                        resource_info["version"] = "1.0.0"
-                    if "category" not in resource_info:
-                        resource_info["category"] = [file.stem]
-                    elif file.stem not in resource_info["category"]:
-                        resource_info["category"].append(file.stem)
-                    elif not isinstance(resource_info.get("category"), list):
-                        resource_info["category"] = [resource_info["category"]]
-                    if "config_info" not in resource_info:
-                        resource_info["config_info"] = []
-                    if "icon" not in resource_info:
-                        resource_info["icon"] = ""
-                    if "handles" not in resource_info:
-                        resource_info["handles"] = []
-                    if "init_param_schema" not in resource_info:
-                        resource_info["init_param_schema"] = {}
-                    if "config_info" in resource_info:
-                        del resource_info["config_info"]
-                    if "file_path" in resource_info:
-                        del resource_info["file_path"]
-                    complete_data[resource_id] = copy.deepcopy(dict(sorted(resource_info.items())))
-                    if upload_registry:
-                        class_info = resource_info.get("class", {})
-                        if len(class_info) and "module" in class_info:
-                            if class_info.get("type") == "pylabrobot":
-                                res_class = get_class(class_info["module"])
-                                if callable(res_class) and not isinstance(
-                                    res_class, type
-                                ):  # 有的是类，有的是函数，这里暂时只登记函数类的
-                                    res_instance = res_class(res_class.__name__)
-                                    res_ulr = tree_to_list([resource_plr_to_ulab(res_instance)])
-                                    resource_info["config_info"] = res_ulr
-                    resource_info["registry_type"] = "resource"
-                    resource_info["file_path"] = str(file.absolute()).replace("\\", "/")
-                complete_data = dict(sorted(complete_data.items()))
-                complete_data = copy.deepcopy(complete_data)
-                if complete_registry:
-                    with open(file, "w", encoding="utf-8") as f:
-                        yaml.dump(complete_data, f, allow_unicode=True, default_flow_style=False, Dumper=NoAliasDumper)
+        logger.debug(f"[UniLab Registry] resources: {resource_path.exists()}, total: {len(files)}")
 
+        if not files:
+            return
+
+        # 使用线程池并行加载
+        max_workers = min(8, len(files))
+        results = []
+
+        with ThreadPoolExecutor(max_workers=max_workers) as executor:
+            future_to_file = {
+                executor.submit(self._load_single_resource_file, file, complete_registry, upload_registry): file
+                for file in files
+            }
+            for future in as_completed(future_to_file):
+                file = future_to_file[future]
+                try:
+                    data, complete_data, is_valid = future.result()
+                    if is_valid:
+                        results.append((file, data))
+                except Exception as e:
+                    logger.warning(f"[UniLab Registry] 处理资源文件异常: {file}, 错误: {e}")
+
+        # 线程安全地更新注册表
+        current_resource_number = len(self.resource_type_registry) + 1
+        with self._registry_lock:
+            for i, (file, data) in enumerate(results):
                 self.resource_type_registry.update(data)
-                logger.trace(  # type: ignore
-                    f"[UniLab Registry] Resource-{current_resource_number} File-{i+1}/{len(files)} "
+                logger.trace(
+                    f"[UniLab Registry] Resource-{current_resource_number} File-{i+1}/{len(results)} "
                     + f"Add {list(data.keys())}"
                 )
                 current_resource_number += 1
-            else:
-                logger.debug(f"[UniLab Registry] Res File-{i+1}/{len(files)} Not Valid YAML File: {file.absolute()}")
+
+        # 记录无效文件
+        valid_files = {r[0] for r in results}
+        for file in files:
+            if file not in valid_files:
+                logger.debug(f"[UniLab Registry] Res File Not Valid YAML File: {file.absolute()}")
 
     def _extract_class_docstrings(self, module_string: str) -> Dict[str, str]:
         """
@@ -673,213 +724,244 @@ class Registry:
                 "handles": {},
             }
 
+    def _load_single_device_file(
+        self, file: Path, complete_registry: bool, get_yaml_from_goal_type
+    ) -> Tuple[Dict[str, Any], Dict[str, Any], bool, List[str]]:
+        """
+        加载单个设备文件 (线程安全)
+
+        Returns:
+            (data, complete_data, is_valid, device_ids): 设备数据, 完整数据, 是否有效, 设备ID列表
+        """
+        try:
+            with open(file, encoding="utf-8", mode="r") as f:
+                data = yaml.safe_load(io.StringIO(f.read()))
+        except Exception as e:
+            logger.warning(f"[UniLab Registry] 读取设备文件失败: {file}, 错误: {e}")
+            return {}, {}, False, []
+
+        if not data:
+            return {}, {}, False, []
+
+        complete_data = {}
+        action_str_type_mapping = {
+            "UniLabJsonCommand": "UniLabJsonCommand",
+            "UniLabJsonCommandAsync": "UniLabJsonCommandAsync",
+        }
+        status_str_type_mapping = {}
+        device_ids = []
+
+        for device_id, device_config in data.items():
+            if "version" not in device_config:
+                device_config["version"] = "1.0.0"
+            if "category" not in device_config:
+                device_config["category"] = [file.stem]
+            elif file.stem not in device_config["category"]:
+                device_config["category"].append(file.stem)
+            if "config_info" not in device_config:
+                device_config["config_info"] = []
+            if "description" not in device_config:
+                device_config["description"] = ""
+            if "icon" not in device_config:
+                device_config["icon"] = ""
+            if "handles" not in device_config:
+                device_config["handles"] = []
+            if "init_param_schema" not in device_config:
+                device_config["init_param_schema"] = {}
+            if "class" in device_config:
+                if "status_types" not in device_config["class"] or device_config["class"]["status_types"] is None:
+                    device_config["class"]["status_types"] = {}
+                if (
+                    "action_value_mappings" not in device_config["class"]
+                    or device_config["class"]["action_value_mappings"] is None
+                ):
+                    device_config["class"]["action_value_mappings"] = {}
+                enhanced_info = {}
+                if complete_registry:
+                    device_config["class"]["status_types"].clear()
+                    enhanced_info = get_enhanced_class_info(device_config["class"]["module"], use_dynamic=True)
+                    if not enhanced_info.get("dynamic_import_success", False):
+                        continue
+                    device_config["class"]["status_types"].update(
+                        {k: v["return_type"] for k, v in enhanced_info["status_methods"].items()}
+                    )
+                for status_name, status_type in device_config["class"]["status_types"].items():
+                    if isinstance(status_type, tuple) or status_type in ["Any", "None", "Unknown"]:
+                        status_type = "String"
+                        device_config["class"]["status_types"][status_name] = status_type
+                    try:
+                        target_type = self._replace_type_with_class(status_type, device_id, f"状态 {status_name}")
+                    except ROSMsgNotFound:
+                        continue
+                    if target_type in [dict, list]:
+                        target_type = String
+                    status_str_type_mapping[status_type] = target_type
+                device_config["class"]["status_types"] = dict(sorted(device_config["class"]["status_types"].items()))
+                if complete_registry:
+                    old_action_configs = {}
+                    for action_name, action_config in device_config["class"]["action_value_mappings"].items():
+                        old_action_configs[action_name] = action_config
+
+                    device_config["class"]["action_value_mappings"] = {
+                        k: v
+                        for k, v in device_config["class"]["action_value_mappings"].items()
+                        if not k.startswith("auto-")
+                    }
+                    device_config["class"]["action_value_mappings"].update(
+                        {
+                            f"auto-{k}": {
+                                "type": "UniLabJsonCommandAsync" if v["is_async"] else "UniLabJsonCommand",
+                                "goal": {},
+                                "feedback": {},
+                                "result": {},
+                                "schema": self._generate_unilab_json_command_schema(
+                                    v["args"],
+                                    k,
+                                    v.get("return_annotation"),
+                                    old_action_configs.get(f"auto-{k}", {}).get("schema"),
+                                ),
+                                "goal_default": {i["name"]: i["default"] for i in v["args"]},
+                                "handles": old_action_configs.get(f"auto-{k}", {}).get("handles", []),
+                                "placeholder_keys": {
+                                    i["name"]: (
+                                        "unilabos_resources"
+                                        if i["type"] == "unilabos.registry.placeholder_type:ResourceSlot"
+                                        or i["type"] == ("list", "unilabos.registry.placeholder_type:ResourceSlot")
+                                        else "unilabos_devices"
+                                    )
+                                    for i in v["args"]
+                                    if i.get("type", "")
+                                    in [
+                                        "unilabos.registry.placeholder_type:ResourceSlot",
+                                        "unilabos.registry.placeholder_type:DeviceSlot",
+                                        ("list", "unilabos.registry.placeholder_type:ResourceSlot"),
+                                        ("list", "unilabos.registry.placeholder_type:DeviceSlot"),
+                                    ]
+                                },
+                            }
+                            for k, v in enhanced_info["action_methods"].items()
+                            if k not in device_config["class"]["action_value_mappings"]
+                        }
+                    )
+                    for action_name, old_config in old_action_configs.items():
+                        if action_name in device_config["class"]["action_value_mappings"]:
+                            old_schema = old_config.get("schema", {})
+                            if "description" in old_schema and old_schema["description"]:
+                                device_config["class"]["action_value_mappings"][action_name]["schema"][
+                                    "description"
+                                ] = old_schema["description"]
+                    device_config["init_param_schema"] = {}
+                    device_config["init_param_schema"]["config"] = self._generate_unilab_json_command_schema(
+                        enhanced_info["init_params"], "__init__"
+                    )["properties"]["goal"]
+                    device_config["init_param_schema"]["data"] = self._generate_status_types_schema(
+                        enhanced_info["status_methods"]
+                    )
+
+                device_config.pop("schema", None)
+                device_config["class"]["action_value_mappings"] = dict(
+                    sorted(device_config["class"]["action_value_mappings"].items())
+                )
+                for action_name, action_config in device_config["class"]["action_value_mappings"].items():
+                    if "handles" not in action_config:
+                        action_config["handles"] = {}
+                    elif isinstance(action_config["handles"], list):
+                        if len(action_config["handles"]):
+                            logger.error(f"设备{device_id} {action_name} 的handles配置错误，应该是字典类型")
+                            continue
+                        else:
+                            action_config["handles"] = {}
+                    if "type" in action_config:
+                        action_type_str: str = action_config["type"]
+                        if not action_type_str.startswith("UniLabJsonCommand"):
+                            try:
+                                target_type = self._replace_type_with_class(
+                                    action_type_str, device_id, f"动作 {action_name}"
+                                )
+                            except ROSMsgNotFound:
+                                continue
+                            action_str_type_mapping[action_type_str] = target_type
+                            if target_type is not None:
+                                action_config["goal_default"] = yaml.safe_load(
+                                    io.StringIO(get_yaml_from_goal_type(target_type.Goal))
+                                )
+                                action_config["schema"] = ros_action_to_json_schema(target_type)
+                            else:
+                                logger.warning(
+                                    f"[UniLab Registry] 设备 {device_id} 的动作 {action_name} 类型为空，跳过替换"
+                                )
+                complete_data[device_id] = copy.deepcopy(dict(sorted(device_config.items())))
+                for status_name, status_type in device_config["class"]["status_types"].items():
+                    device_config["class"]["status_types"][status_name] = status_str_type_mapping[status_type]
+                for action_name, action_config in device_config["class"]["action_value_mappings"].items():
+                    if action_config["type"] not in action_str_type_mapping:
+                        continue
+                    action_config["type"] = action_str_type_mapping[action_config["type"]]
+                self._add_builtin_actions(device_config, device_id)
+            device_config["file_path"] = str(file.absolute()).replace("\\", "/")
+            device_config["registry_type"] = "device"
+            device_ids.append(device_id)
+
+        complete_data = dict(sorted(complete_data.items()))
+        complete_data = copy.deepcopy(complete_data)
+        try:
+            with open(file, "w", encoding="utf-8") as f:
+                yaml.dump(complete_data, f, allow_unicode=True, default_flow_style=False, Dumper=NoAliasDumper)
+        except Exception as e:
+            logger.warning(f"[UniLab Registry] 写入设备文件失败: {file}, 错误: {e}")
+
+        return data, complete_data, True, device_ids
+
     def load_device_types(self, path: os.PathLike, complete_registry: bool):
-        # return
         abs_path = Path(path).absolute()
         devices_path = abs_path / "devices"
         device_comms_path = abs_path / "device_comms"
         files = list(devices_path.glob("*.yaml")) + list(device_comms_path.glob("*.yaml"))
-        logger.trace(  # type: ignore
+        logger.trace(
             f"[UniLab Registry] devices: {devices_path.exists()}, device_comms: {device_comms_path.exists()}, "
             + f"total: {len(files)}"
         )
-        current_device_number = len(self.device_type_registry) + 1
+
+        if not files:
+            return
+
         from unilabos.app.web.utils.action_utils import get_yaml_from_goal_type
 
-        for i, file in enumerate(files):
-            with open(file, encoding="utf-8", mode="r") as f:
-                data = yaml.safe_load(io.StringIO(f.read()))
-            complete_data = {}
-            action_str_type_mapping = {
-                "UniLabJsonCommand": "UniLabJsonCommand",
-                "UniLabJsonCommandAsync": "UniLabJsonCommandAsync",
+        # 使用线程池并行加载
+        max_workers = min(8, len(files))
+        results = []
+
+        with ThreadPoolExecutor(max_workers=max_workers) as executor:
+            future_to_file = {
+                executor.submit(self._load_single_device_file, file, complete_registry, get_yaml_from_goal_type): file
+                for file in files
             }
-            status_str_type_mapping = {}
-            if data:
-                # 在添加到注册表前处理类型替换
-                for device_id, device_config in data.items():
-                    # 添加文件路径信息 - 使用规范化的完整文件路径
-                    if "version" not in device_config:
-                        device_config["version"] = "1.0.0"
-                    if "category" not in device_config:
-                        device_config["category"] = [file.stem]
-                    elif file.stem not in device_config["category"]:
-                        device_config["category"].append(file.stem)
-                    if "config_info" not in device_config:
-                        device_config["config_info"] = []
-                    if "description" not in device_config:
-                        device_config["description"] = ""
-                    if "icon" not in device_config:
-                        device_config["icon"] = ""
-                    if "handles" not in device_config:
-                        device_config["handles"] = []
-                    if "init_param_schema" not in device_config:
-                        device_config["init_param_schema"] = {}
-                    if "class" in device_config:
-                        if (
-                            "status_types" not in device_config["class"]
-                            or device_config["class"]["status_types"] is None
-                        ):
-                            device_config["class"]["status_types"] = {}
-                        if (
-                            "action_value_mappings" not in device_config["class"]
-                            or device_config["class"]["action_value_mappings"] is None
-                        ):
-                            device_config["class"]["action_value_mappings"] = {}
-                        enhanced_info = {}
-                        if complete_registry:
-                            device_config["class"]["status_types"].clear()
-                            enhanced_info = get_enhanced_class_info(device_config["class"]["module"], use_dynamic=True)
-                            if not enhanced_info.get("dynamic_import_success", False):
-                                continue
-                            device_config["class"]["status_types"].update(
-                                {k: v["return_type"] for k, v in enhanced_info["status_methods"].items()}
-                            )
-                        for status_name, status_type in device_config["class"]["status_types"].items():
-                            if isinstance(status_type, tuple) or status_type in ["Any", "None", "Unknown"]:
-                                status_type = "String"  # 替换成ROS的String，便于显示
-                                device_config["class"]["status_types"][status_name] = status_type
-                            try:
-                                target_type = self._replace_type_with_class(
-                                    status_type, device_id, f"状态 {status_name}"
-                                )
-                            except ROSMsgNotFound:
-                                continue
-                            if target_type in [
-                                dict,
-                                list,
-                            ]:  # 对于嵌套类型返回的对象，暂时处理成字符串，无法直接进行转换
-                                target_type = String
-                            status_str_type_mapping[status_type] = target_type
-                        device_config["class"]["status_types"] = dict(
-                            sorted(device_config["class"]["status_types"].items())
-                        )
-                        if complete_registry:
-                            # 保存原有的 action 配置（用于保留 schema 的 description 和 handles 等）
-                            old_action_configs = {}
-                            for action_name, action_config in device_config["class"]["action_value_mappings"].items():
-                                old_action_configs[action_name] = action_config
+            for future in as_completed(future_to_file):
+                file = future_to_file[future]
+                try:
+                    data, complete_data, is_valid, device_ids = future.result()
+                    if is_valid:
+                        results.append((file, data, device_ids))
+                except Exception as e:
+                    logger.warning(f"[UniLab Registry] 处理设备文件异常: {file}, 错误: {e}")
 
-                            device_config["class"]["action_value_mappings"] = {
-                                k: v
-                                for k, v in device_config["class"]["action_value_mappings"].items()
-                                if not k.startswith("auto-")
-                            }
-                            # 处理动作值映射
-                            device_config["class"]["action_value_mappings"].update(
-                                {
-                                    f"auto-{k}": {
-                                        "type": "UniLabJsonCommandAsync" if v["is_async"] else "UniLabJsonCommand",
-                                        "goal": {},
-                                        "feedback": {},
-                                        "result": {},
-                                        "schema": self._generate_unilab_json_command_schema(
-                                            v["args"],
-                                            k,
-                                            v.get("return_annotation"),
-                                            # 传入旧的 schema 以保留字段 description
-                                            old_action_configs.get(f"auto-{k}", {}).get("schema"),
-                                        ),
-                                        "goal_default": {i["name"]: i["default"] for i in v["args"]},
-                                        # 保留原有的 handles 配置
-                                        "handles": old_action_configs.get(f"auto-{k}", {}).get("handles", []),
-                                        "placeholder_keys": {
-                                            i["name"]: (
-                                                "unilabos_resources"
-                                                if i["type"] == "unilabos.registry.placeholder_type:ResourceSlot"
-                                                or i["type"]
-                                                == ("list", "unilabos.registry.placeholder_type:ResourceSlot")
-                                                else "unilabos_devices"
-                                            )
-                                            for i in v["args"]
-                                            if i.get("type", "")
-                                            in [
-                                                "unilabos.registry.placeholder_type:ResourceSlot",
-                                                "unilabos.registry.placeholder_type:DeviceSlot",
-                                                ("list", "unilabos.registry.placeholder_type:ResourceSlot"),
-                                                ("list", "unilabos.registry.placeholder_type:DeviceSlot"),
-                                            ]
-                                        },
-                                    }
-                                    # 不生成已配置action的动作
-                                    for k, v in enhanced_info["action_methods"].items()
-                                    if k not in device_config["class"]["action_value_mappings"]
-                                }
-                            )
-                            # 恢复原有的 description 信息（非 auto- 开头的动作）
-                            for action_name, old_config in old_action_configs.items():
-                                if action_name in device_config["class"]["action_value_mappings"]:  # 有一些会被删除
-                                    old_schema = old_config.get("schema", {})
-                                    if "description" in old_schema and old_schema["description"]:
-                                        device_config["class"]["action_value_mappings"][action_name]["schema"][
-                                            "description"
-                                        ] = old_schema["description"]
-                            device_config["init_param_schema"] = {}
-                            device_config["init_param_schema"]["config"] = self._generate_unilab_json_command_schema(
-                                enhanced_info["init_params"], "__init__"
-                            )["properties"]["goal"]
-                            device_config["init_param_schema"]["data"] = self._generate_status_types_schema(
-                                enhanced_info["status_methods"]
-                            )
-
-                        device_config.pop("schema", None)
-                        device_config["class"]["action_value_mappings"] = dict(
-                            sorted(device_config["class"]["action_value_mappings"].items())
-                        )
-                        for action_name, action_config in device_config["class"]["action_value_mappings"].items():
-                            if "handles" not in action_config:
-                                action_config["handles"] = {}
-                            elif isinstance(action_config["handles"], list):
-                                if len(action_config["handles"]):
-                                    logger.error(f"设备{device_id} {action_name} 的handles配置错误，应该是字典类型")
-                                    continue
-                                else:
-                                    action_config["handles"] = {}
-                            if "type" in action_config:
-                                action_type_str: str = action_config["type"]
-                                # 通过Json发放指令，而不是通过特殊的ros action进行处理
-                                if not action_type_str.startswith("UniLabJsonCommand"):
-                                    try:
-                                        target_type = self._replace_type_with_class(
-                                            action_type_str, device_id, f"动作 {action_name}"
-                                        )
-                                    except ROSMsgNotFound:
-                                        continue
-                                    action_str_type_mapping[action_type_str] = target_type
-                                    if target_type is not None:
-                                        action_config["goal_default"] = yaml.safe_load(
-                                            io.StringIO(get_yaml_from_goal_type(target_type.Goal))
-                                        )
-                                        action_config["schema"] = ros_action_to_json_schema(target_type)
-                                    else:
-                                        logger.warning(
-                                            f"[UniLab Registry] 设备 {device_id} 的动作 {action_name} 类型为空，跳过替换"
-                                        )
-                        complete_data[device_id] = copy.deepcopy(dict(sorted(device_config.items())))  # 稍后dump到文件
-                        for status_name, status_type in device_config["class"]["status_types"].items():
-                            device_config["class"]["status_types"][status_name] = status_str_type_mapping[status_type]
-                        for action_name, action_config in device_config["class"]["action_value_mappings"].items():
-                            if action_config["type"] not in action_str_type_mapping:
-                                continue
-                            action_config["type"] = action_str_type_mapping[action_config["type"]]
-                        # 添加内置的驱动命令动作
-                        self._add_builtin_actions(device_config, device_id)
-                    device_config["file_path"] = str(file.absolute()).replace("\\", "/")
-                    device_config["registry_type"] = "device"
-                    logger.trace(  # type: ignore
-                        f"[UniLab Registry] Device-{current_device_number} File-{i+1}/{len(files)} Add {device_id} "
+        # 线程安全地更新注册表
+        current_device_number = len(self.device_type_registry) + 1
+        with self._registry_lock:
+            for file, data, device_ids in results:
+                self.device_type_registry.update(data)
+                for device_id in device_ids:
+                    logger.trace(
+                        f"[UniLab Registry] Device-{current_device_number} Add {device_id} "
                         + f"[{data[device_id].get('name', '未命名设备')}]"
                     )
                     current_device_number += 1
-                complete_data = dict(sorted(complete_data.items()))
-                complete_data = copy.deepcopy(complete_data)
-                with open(file, "w", encoding="utf-8") as f:
-                    yaml.dump(complete_data, f, allow_unicode=True, default_flow_style=False, Dumper=NoAliasDumper)
-                self.device_type_registry.update(data)
-            else:
-                logger.debug(
-                    f"[UniLab Registry] Device File-{i+1}/{len(files)} Not Valid YAML File: {file.absolute()}"
-                )
+
+        # 记录无效文件
+        valid_files = {r[0] for r in results}
+        for file in files:
+            if file not in valid_files:
+                logger.debug(f"[UniLab Registry] Device File Not Valid YAML File: {file.absolute()}")
 
     def obtain_registry_device_info(self):
         devices = []

unilabos/resources/graphio.py

@@ -151,12 +151,40 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
     """
     # 构建 id 到 uuid 的映射
     id_to_uuid: Dict[str, str] = {}
+    uuid_to_id: Dict[str, str] = {}
     for node in resource_tree_set.all_nodes:
         id_to_uuid[node.res_content.id] = node.res_content.uuid
+        uuid_to_id[node.res_content.uuid] = node.res_content.id
+
+    # 第三遍处理：为每个 link 添加 source_uuid 和 target_uuid
+    for link in links:
+        source_id = link.get("source")
+        target_id = link.get("target")
+
+        # 添加 source_uuid
+        if source_id and source_id in id_to_uuid:
+            link["source_uuid"] = id_to_uuid[source_id]
+
+        # 添加 target_uuid
+        if target_id and target_id in id_to_uuid:
+            link["target_uuid"] = id_to_uuid[target_id]
+
+        source_uuid = link.get("source_uuid")
+        target_uuid = link.get("target_uuid")
+
+        # 添加 source_uuid
+        if source_uuid and source_uuid in uuid_to_id:
+            link["source"] = uuid_to_id[source_uuid]
+
+        # 添加 target_uuid
+        if target_uuid and target_uuid in uuid_to_id:
+            link["target"] = uuid_to_id[target_uuid]
 
     # 第一遍处理：将字符串类型的port转换为字典格式
     for link in links:
         port = link.get("port")
+        if port is None:
+            continue
         if link.get("type", "physical") == "physical":
             link["type"] = "fluid"
         if isinstance(port, int):
@@ -179,13 +207,15 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
             link["port"] = {link["source"]: None, link["target"]: None}
 
     # 构建边字典，键为(source节点, target节点)，值为对应的port信息
-    edges = {(link["source"], link["target"]): link["port"] for link in links}
+    edges = {(link["source"], link["target"]): link["port"] for link in links if link.get("port")}
 
     # 第二遍处理：填充反向边的dest信息
     delete_reverses = []
     for i, link in enumerate(links):
         s, t = link["source"], link["target"]
-        current_port = link["port"]
+        current_port = link.get("port")
+        if current_port is None:
+            continue
         if current_port.get(t) is None:
             reverse_key = (t, s)
             reverse_port = edges.get(reverse_key)
@@ -200,20 +230,6 @@ def canonicalize_links_ports(links: List[Dict[str, Any]], resource_tree_set: Res
                 current_port[t] = current_port[s]
     # 删除已被使用反向端口信息的反向边
     standardized_links = [link for i, link in enumerate(links) if i not in delete_reverses]
-
-    # 第三遍处理：为每个 link 添加 source_uuid 和 target_uuid
-    for link in standardized_links:
-        source_id = link.get("source")
-        target_id = link.get("target")
-
-        # 添加 source_uuid
-        if source_id and source_id in id_to_uuid:
-            link["source_uuid"] = id_to_uuid[source_id]
-
-        # 添加 target_uuid
-        if target_id and target_id in id_to_uuid:
-            link["target_uuid"] = id_to_uuid[target_id]
-
     return standardized_links
 
 
@@ -260,7 +276,7 @@ def read_node_link_json(
     resource_tree_set = canonicalize_nodes_data(nodes)
 
     # 标准化边数据
-    links = data.get("links", [])
+    links = data.get("links", data.get("edges", []))
     standardized_links = canonicalize_links_ports(links, resource_tree_set)
 
     # 构建 NetworkX 图（需要转换回 dict 格式）
@@ -284,6 +300,8 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
             edge["sourceHandle"] = port[source]
         elif "source_port" in edge:
             edge["sourceHandle"] = edge.pop("source_port")
+        elif "source_handle" in edge:
+            edge["sourceHandle"] = edge.pop("source_handle")
         else:
             typ = edge.get("type")
             if typ == "communication":
@@ -292,6 +310,8 @@ def modify_to_backend_format(data: list[dict[str, Any]]) -> list[dict[str, Any]]
             edge["targetHandle"] = port[target]
         elif "target_port" in edge:
             edge["targetHandle"] = edge.pop("target_port")
+        elif "target_handle" in edge:
+            edge["targetHandle"] = edge.pop("target_handle")
         else:
             typ = edge.get("type")
             if typ == "communication":
@@ -597,6 +617,8 @@ def resource_plr_to_ulab(resource_plr: "ResourcePLR", parent_name: str = None, w
             "tube": "tube",
             "bottle_carrier": "bottle_carrier",
             "plate_adapter": "plate_adapter",
+            "electrode_sheet": "electrode_sheet",
+            "material_hole": "material_hole",
         }
         if source in replace_info:
             return replace_info[source]

unilabos/resources/resource_tracker.py

@@ -13,6 +13,9 @@ if TYPE_CHECKING:
     from pylabrobot.resources import Resource as PLRResource
 
 
+EXTRA_CLASS = "unilabos_resource_class"
+
+
 class ResourceDictPositionSize(BaseModel):
     depth: float = Field(description="Depth", default=0.0)  # z
     width: float = Field(description="Width", default=0.0)  # x
@@ -393,7 +396,7 @@ class ResourceTreeSet(object):
                 "parent": parent_resource,  # 直接传入 ResourceDict 对象
                 "parent_uuid": parent_uuid,  # 使用 parent_uuid 而不是 parent 对象
                 "type": replace_plr_type(d.get("category", "")),
-                "class": d.get("class", ""),
+                "class": extra.get(EXTRA_CLASS, ""),
                 "position": pos,
                 "pose": pos,
                 "config": {
@@ -443,7 +446,7 @@ class ResourceTreeSet(object):
             trees.append(tree_instance)
         return cls(trees)
 
-    def to_plr_resources(self) -> List["PLRResource"]:
+    def to_plr_resources(self, skip_devices=True) -> List["PLRResource"]:
         """
         将 ResourceTreeSet 转换为 PLR 资源列表
 
@@ -468,6 +471,7 @@ class ResourceTreeSet(object):
             name_to_uuid[node.res_content.name] = node.res_content.uuid
             all_states[node.res_content.name] = node.res_content.data
             name_to_extra[node.res_content.name] = node.res_content.extra
+            name_to_extra[node.res_content.name][EXTRA_CLASS] = node.res_content.klass
             for child in node.children:
                 collect_node_data(child, name_to_uuid, all_states, name_to_extra)
 
@@ -512,7 +516,10 @@ class ResourceTreeSet(object):
             plr_dict = node_to_plr_dict(tree.root_node, has_model)
             try:
                 sub_cls = find_subclass(plr_dict["type"], PLRResource)
-                if sub_cls is None:
+                if skip_devices and plr_dict["type"] == "device":
+                    logger.info(f"跳过更新 {plr_dict['name']} 设备是class")
+                    continue
+                elif sub_cls is None:
                     raise ValueError(
                         f"无法找到类型 {plr_dict['type']} 对应的 PLR 资源类。原始信息：{tree.root_node.res_content}"
                     )
@@ -520,6 +527,10 @@ class ResourceTreeSet(object):
                 if "category" not in spec.parameters:
                     plr_dict.pop("category", None)
                 plr_resource = sub_cls.deserialize(plr_dict, allow_marshal=True)
+                from pylabrobot.resources import Coordinate
+                from pylabrobot.serializer import deserialize
+                location = cast(Coordinate, deserialize(plr_dict["location"]))
+                plr_resource.location = location
                 plr_resource.load_all_state(all_states)
                 # 使用 DeviceNodeResourceTracker 设置 UUID 和 Extra
                 tracker.loop_set_uuid(plr_resource, name_to_uuid)
@@ -986,7 +997,7 @@ class DeviceNodeResourceTracker(object):
                 extra = name_to_extra_map[resource_name]
                 self.set_resource_extra(res, extra)
                 if len(extra):
-                    logger.debug(f"设置资源Extra: {resource_name} -> {extra}")
+                    logger.trace(f"设置资源Extra: {resource_name} -> {extra}")
                 return 1
             return 0
 

unilabos/ros/nodes/base_device_node.py

@@ -884,6 +884,9 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                                 parent_appended = True
 
                 # 加载状态
+                original_instance.location = plr_resource.location
+                original_instance.rotation = plr_resource.rotation
+                original_instance.barcode = plr_resource.barcode
                 original_instance.load_all_state(states)
                 child_count = len(original_instance.get_all_children())
                 self.lab_logger().info(
@@ -1319,19 +1322,32 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                             resource_inputs = action_kwargs[k] if is_sequence else [action_kwargs[k]]
 
                             # 批量查询资源
-                            queried_resources = []
-                            for resource_data in resource_inputs:
+                            queried_resources: list = [None] * len(resource_inputs)
+                            uuid_indices: list[tuple[int, str, dict]] = []  # (index, uuid, resource_data)
+
+                            # 第一遍：处理没有uuid的资源，收集有uuid的资源信息
+                            for idx, resource_data in enumerate(resource_inputs):
                                 unilabos_uuid = resource_data.get("data", {}).get("unilabos_uuid")
                                 if unilabos_uuid is None:
                                     plr_resource = await self.get_resource_with_dir(
                                         resource_id=resource_data["id"], with_children=True
                                     )
+                                    if "sample_id" in resource_data:
+                                        plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
+                                    queried_resources[idx] = plr_resource
                                 else:
-                                    resource_tree = await self.get_resource([unilabos_uuid])
-                                    plr_resource = resource_tree.to_plr_resources()[0]
-                                if "sample_id" in resource_data:
-                                    plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
-                                queried_resources.append(plr_resource)
+                                    uuid_indices.append((idx, unilabos_uuid, resource_data))
+
+                            # 第二遍：批量查询有uuid的资源
+                            if uuid_indices:
+                                uuids = [item[1] for item in uuid_indices]
+                                resource_tree = await self.get_resource(uuids)
+                                plr_resources = resource_tree.to_plr_resources()
+                                for i, (idx, _, resource_data) in enumerate(uuid_indices):
+                                    plr_resource = plr_resources[i]
+                                    if "sample_id" in resource_data:
+                                        plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
+                                    queried_resources[idx] = plr_resource
 
                             self.lab_logger().debug(f"资源查询结果: 共 {len(queried_resources)} 个资源")
 
@@ -1565,7 +1581,7 @@ class BaseROS2DeviceNode(Node, Generic[T]):
                                     f"转换ResourceSlot列表参数 {arg_name} 失败: {e}\n{traceback.format_exc()}"
                                 )
                                 raise JsonCommandInitError(f"ResourceSlot列表参数转换失败: {arg_name}")
-
+            # todo: 默认反报送
             return function(**function_args)
         except KeyError as ex:
             raise JsonCommandInitError(
@@ -1598,8 +1614,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
         timeout = 30.0
         elapsed = 0.0
         while not future.done() and elapsed < timeout:
-            time.sleep(0.05)
-            elapsed += 0.05
+            time.sleep(0.02)
+            elapsed += 0.02
 
         if not future.done():
             raise Exception(f"资源查询超时: {uuids_list}")

unilabos/ros/nodes/presets/host_node.py

@@ -807,7 +807,8 @@ class HostNode(BaseROS2DeviceNode):
         assign_sample_id(action_kwargs)
         goal_msg = convert_to_ros_msg(action_client._action_type.Goal(), action_kwargs)
 
-        self.lab_logger().info(f"[Host Node] Sending goal for {action_id}: {str(goal_msg)[:1000]}")
+        # self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {str(goal_msg)[:1000]}")
+        self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {action_kwargs}")
         self.lab_logger().trace(f"[Host Node] Sending goal for {action_id}: {goal_msg}")
         action_client.wait_for_server()
         goal_uuid_obj = UUID(uuid=list(u.bytes))
@@ -1179,7 +1180,7 @@ class HostNode(BaseROS2DeviceNode):
         """
         更新节点信息回调
         """
-        # self.lab_logger().info(f"[Host Node] Node info update request received: {request}")
+        self.lab_logger().trace(f"[Host Node] Node info update request received: {request}")
         try:
             from unilabos.app.communication import get_communication_client
             from unilabos.app.web.client import HTTPClient, http_client

unilabos/ros/nodes/presets/workstation.py

@@ -6,8 +6,6 @@ from typing import List, Dict, Any, Optional, TYPE_CHECKING
 
 import rclpy
 from rosidl_runtime_py import message_to_ordereddict
-from unilabos_msgs.msg import Resource
-from unilabos_msgs.srv import ResourceUpdate
 
 from unilabos.messages import *  # type: ignore  # protocol names
 from rclpy.action import ActionServer, ActionClient
@@ -15,7 +13,6 @@ from rclpy.action.server import ServerGoalHandle
 from unilabos_msgs.srv._serial_command import SerialCommand_Request, SerialCommand_Response
 
 from unilabos.compile import action_protocol_generators
-from unilabos.resources.graphio import nested_dict_to_list
 from unilabos.ros.initialize_device import initialize_device_from_dict
 from unilabos.ros.msgs.message_converter import (
     get_action_type,
@@ -231,15 +228,15 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
                         try:
                             # 统一处理单个或多个资源
                             resource_id = (
-                                protocol_kwargs[k]["id"] if v == "unilabos_msgs/Resource" else protocol_kwargs[k][0]["id"]
+                                protocol_kwargs[k]["id"]
+                                if v == "unilabos_msgs/Resource"
+                                else protocol_kwargs[k][0]["id"]
                             )
                             resource_uuid = protocol_kwargs[k].get("uuid", None)
                             r = SerialCommand_Request()
                             r.command = json.dumps({"id": resource_id, "uuid": resource_uuid, "with_children": True})
                             # 发送请求并等待响应
-                            response: SerialCommand_Response = await self._resource_clients[
-                                "resource_get"
-                            ].call_async(
+                            response: SerialCommand_Response = await self._resource_clients["resource_get"].call_async(
                                 r
                             )  # type: ignore
                             raw_data = json.loads(response.response)
@@ -307,12 +304,52 @@ class ROS2WorkstationNode(BaseROS2DeviceNode):
 
                 # 向Host更新物料当前状态
                 for k, v in goal.get_fields_and_field_types().items():
-                    if v in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
-                        r = ResourceUpdate.Request()
-                        r.resources = [
-                            convert_to_ros_msg(Resource, rs) for rs in nested_dict_to_list(protocol_kwargs[k])
-                        ]
-                        response = await self._resource_clients["resource_update"].call_async(r)
+                    if v not in ["unilabos_msgs/Resource", "sequence<unilabos_msgs/Resource>"]:
+                        continue
+                    self.lab_logger().info(f"更新资源状态: {k}")
+                    try:
+                        # 去重：使用 seen 集合获取唯一的资源对象
+                        seen = set()
+                        unique_resources = []
+
+                        # 获取资源数据，统一转换为列表
+                        resource_data = protocol_kwargs[k]
+                        is_sequence = v != "unilabos_msgs/Resource"
+                        if not is_sequence:
+                            resource_list = [resource_data] if isinstance(resource_data, dict) else resource_data
+                        else:
+                            # 处理序列类型，可能是嵌套列表
+                            resource_list = []
+                            if isinstance(resource_data, list):
+                                for item in resource_data:
+                                    if isinstance(item, list):
+                                        resource_list.extend(item)
+                                    else:
+                                        resource_list.append(item)
+                            else:
+                                resource_list = [resource_data]
+
+                        for res_data in resource_list:
+                            if not isinstance(res_data, dict):
+                                continue
+                            res_name = res_data.get("id") or res_data.get("name")
+                            if not res_name:
+                                continue
+
+                            # 使用 resource_tracker 获取本地 PLR 实例
+                            plr = self.resource_tracker.figure_resource({"name": res_name}, try_mode=False)
+                            # 获取父资源
+                            res = self.resource_tracker.parent_resource(plr)
+                            if id(res) not in seen:
+                                seen.add(id(res))
+                                unique_resources.append(res)
+
+                        # 使用新的资源树接口更新
+                        if unique_resources:
+                            await self.update_resource(unique_resources)
+                    except Exception as e:
+                        self.lab_logger().error(f"资源更新失败: {e}")
+                        self.lab_logger().error(traceback.format_exc())
 
                 # 设置成功状态和返回值
                 execution_success = True

unilabos/test/experiments/prcxi_9320_slim.json

@@ -0,0 +1,795 @@
+{
+  "nodes": [
+    {
+      "id": "PRCXI",
+      "name": "PRCXI",
+      "type": "device",
+      "class": "liquid_handler.prcxi",
+      "parent": "",
+      "pose": {
+        "size": {
+          "width": 562,
+          "height": 394,
+          "depth": 0
+        }
+      },
+      "config": {
+        "axis": "Left",
+        "deck": {
+          "_resource_type": "unilabos.devices.liquid_handling.prcxi.prcxi:PRCXI9300Deck",
+          "_resource_child_name": "PRCXI_Deck"
+        },
+        "host": "10.20.30.184",
+        "port": 9999,
+        "debug": true,
+        "setup": true,
+        "is_9320": true,
+        "timeout": 10,
+        "matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
+        "simulator": true,
+        "channel_num": 2
+      },
+      "data": {
+        "reset_ok": true
+      },
+      "schema": {},
+      "description": "",
+      "model": null,
+      "position": {
+        "x": 0,
+        "y": 240,
+        "z": 0
+      }
+    },
+    {
+      "id": "PRCXI_Deck",
+      "name": "PRCXI_Deck",
+
+      "children": [],
+      "parent": "PRCXI",
+      "type": "deck",
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+}

unilabos/utils/README_LOGGING.md

@@ -1,187 +0,0 @@
-# UniLabOS 日志配置说明
-
-> **文件位置**: `unilabos/utils/log.py`  
-> **最后更新**: 2026-01-11  
-> **维护者**: Uni-Lab-OS 开发团队
-
-本文档说明 UniLabOS 日志系统中对第三方库和内部模块的日志级别配置，避免控制台被过多的 DEBUG 日志淹没。
-
----
-
-## 📋 已屏蔽的日志
-
-以下库/模块的日志已被设置为 **WARNING** 或 **INFO** 级别，不再显示 DEBUG 日志：
-
-### 1. pymodbus（Modbus 通信库）
-
-**配置位置**: `log.py` 第196-200行
-
-```python
-# pymodbus 库的日志太详细，设置为 WARNING
-logging.getLogger('pymodbus').setLevel(logging.WARNING)
-logging.getLogger('pymodbus.logging').setLevel(logging.WARNING)
-logging.getLogger('pymodbus.logging.base').setLevel(logging.WARNING)
-logging.getLogger('pymodbus.logging.decoders').setLevel(logging.WARNING)
-```
-
-**屏蔽原因**:
-- pymodbus 在 DEBUG 级别会输出每一次 Modbus 通信的详细信息
-- 包括 `Processing: 0x5 0x1e 0x0 0x0...` 等原始数据
-- 包括 `decoded PDU function_code(3 sub -1) -> ReadHoldingRegistersResponse(...)` 等解码信息
-- 这些信息对日常使用价值不大，但会快速刷屏
-
-**典型被屏蔽的日志**:
-```
-[DEBUG] Processing: 0x5 0x1e 0x0 0x0 0x0 0x7 0x1 0x3 0x4 0x0 0x0 0x0 0x0 [handleFrame:72] [pymodbus.logging.base]
-[DEBUG] decoded PDU function_code(3 sub -1) -> ReadHoldingRegistersResponse(...) [decode:79] [pymodbus.logging.decoders]
-```
-
----
-
-### 2. websockets（WebSocket 库）
-
-**配置位置**: `log.py` 第202-205行
-
-```python
-# websockets 库的日志输出较多，设置为 WARNING
-logging.getLogger('websockets').setLevel(logging.WARNING)
-logging.getLogger('websockets.client').setLevel(logging.WARNING)
-logging.getLogger('websockets.server').setLevel(logging.WARNING)
-```
-
-**屏蔽原因**:
-- WebSocket 连接、断开、心跳等信息在 DEBUG 级别会频繁输出
-- 对于长时间运行的服务，这些日志意义不大
-
----
-
-### 3. ROS Host Node（设备状态更新）
-
-**配置位置**: `log.py` 第207-208行
-
-```python
-# ROS 节点的状态更新日志过于频繁，设置为 INFO
-logging.getLogger('unilabos.ros.nodes.presets.host_node').setLevel(logging.INFO)
-```
-
-**屏蔽原因**:
-- 设备状态更新（如手套箱压力）每隔几秒就会更新一次
-- DEBUG 日志会记录每一次状态变化，导致日志刷屏
-- 这些频繁的状态更新对调试价值不大
-
-**典型被屏蔽的日志**:
-```
-[DEBUG] [/devices/host_node] Status updated: BatteryStation.data_glove_box_pressure = 4.229457855224609 [property_callback:666] [unilabos.ros.nodes.presets.host_node]
-```
-
----
-
-### 4. asyncio 和 urllib3
-
-**配置位置**: `log.py` 第224-225行
-
-```python
-logging.getLogger("asyncio").setLevel(logging.INFO)
-logging.getLogger("urllib3").setLevel(logging.INFO)
-```
-
-**屏蔽原因**:
-- asyncio: 异步 IO 的内部调试信息
-- urllib3: HTTP 请求库的连接池、重试等详细信息
-
----
-
-## 🔧 如何临时启用这些日志（调试用）
-
-### 方法1: 修改 log.py（永久启用）
-
-在 `log.py` 的 `configure_logger()` 函数中，将对应库的日志级别改为 `logging.DEBUG`:
-
-```python
-# 临时启用 pymodbus 的 DEBUG 日志
-logging.getLogger('pymodbus').setLevel(logging.DEBUG)
-logging.getLogger('pymodbus.logging').setLevel(logging.DEBUG)
-logging.getLogger('pymodbus.logging.base').setLevel(logging.DEBUG)
-logging.getLogger('pymodbus.logging.decoders').setLevel(logging.DEBUG)
-```
-
-### 方法2: 在代码中临时启用（单次调试）
-
-在需要调试的代码文件中添加：
-
-```python
-import logging
-
-# 临时启用 pymodbus DEBUG 日志
-logging.getLogger('pymodbus').setLevel(logging.DEBUG)
-
-# 你的 Modbus 调试代码
-...
-
-# 调试完成后恢复
-logging.getLogger('pymodbus').setLevel(logging.WARNING)
-```
-
-### 方法3: 使用环境变量或配置文件（推荐）
-
-未来可以考虑在启动参数中添加 `--debug-modbus` 等选项来动态控制。
-
----
-
-## 📊 日志级别说明
-
-| 级别 | 数值 | 用途 | 是否显示 |
-|------|------|------|---------|
-| TRACE | 5 | 最详细的跟踪信息 | ✅ |
-| DEBUG | 10 | 调试信息 | ✅ |
-| INFO | 20 | 一般信息 | ✅ |
-| WARNING | 30 | 警告信息 | ✅ |
-| ERROR | 40 | 错误信息 | ✅ |
-| CRITICAL | 50 | 严重错误 | ✅ |
-
-**当前配置**:
-- UniLabOS 自身代码: DEBUG 及以上全部显示
-- pymodbus/websockets: **WARNING** 及以上显示（屏蔽 DEBUG/INFO）
-- ROS host_node: **INFO** 及以上显示（屏蔽 DEBUG）
-
----
-
-## ⚠️ 重要提示
-
-### 修改生效时间
-- 修改 `log.py` 后需要 **重启 unilab 服务** 才能生效
-- 不需要重新安装或重新编译
-
-### 调试 Modbus 通信问题
-如果需要调试 Modbus 通信故障，应该：
-1. 临时启用 pymodbus DEBUG 日志（方法2）
-2. 复现问题
-3. 查看详细的通信日志
-4. 调试完成后记得恢复 WARNING 级别
-
-### 调试设备状态问题
-如果需要调试设备状态更新问题：
-```python
-logging.getLogger('unilabos.ros.nodes.presets.host_node').setLevel(logging.DEBUG)
-```
-
----
-
-## 📝 维护记录
-
-| 日期 | 修改内容 | 操作人 |
-|------|---------|--------|
-| 2026-01-11 | 初始创建，添加 pymodbus、websockets、ROS host_node 屏蔽 | - |
-| 2026-01-07 | 添加 pymodbus 和 websockets 屏蔽（log-0107.py） | - |
-
----
-
-## 🔗 相关文件
-
-- `log.py` - 日志配置主文件
-- `unilabos/devices/workstation/coin_cell_assembly/` - 使用 Modbus 的扣电工作站代码
-- `unilabos/ros/nodes/presets/host_node.py` - ROS 主机节点代码
-
----
-
-**维护提示**: 如果添加了新的第三方库或发现新的日志刷屏问题，请在此文档中记录并更新 `log.py` 配置。

unilabos/utils/environment_check.py

@@ -24,6 +24,7 @@ class EnvironmentChecker:
             "msgcenterpy": "msgcenterpy",
             "opentrons_shared_data": "opentrons_shared_data",
             "typing_extensions": "typing_extensions",
+            "crcmod": "crcmod-plus",
         }
 
         # 特殊安装包（需要特殊处理的包）

unilabos/utils/requirements.txt

@@ -0,0 +1,18 @@
+networkx
+typing_extensions
+websockets
+msgcenterpy>=0.1.5
+opentrons_shared_data
+pint
+fastapi
+jinja2
+requests
+uvicorn
+pyautogui
+opcua
+pyserial
+pandas
+crcmod-plus
+pymodbus
+matplotlib
+pylibftdi

unilabos/workflow/common.py

@@ -1,3 +1,100 @@
+"""
+工作流转换模块 - JSON 到 WorkflowGraph 的转换流程
+
+==================== 输入格式 (JSON) ====================
+
+{
+    "workflow": [
+        {"action": "transfer_liquid", "action_args": {"sources": "cell_lines", "targets": "Liquid_1", "asp_vol": 100.0, "dis_vol": 74.75, ...}},
+        ...
+    ],
+    "reagent": {
+        "cell_lines": {"slot": 4, "well": ["A1", "A3", "A5"], "labware": "DRUG + YOYO-MEDIA"},
+        "Liquid_1": {"slot": 1, "well": ["A4", "A7", "A10"], "labware": "rep 1"},
+        ...
+    }
+}
+
+==================== 转换步骤 ====================
+
+第一步: 按 slot 去重创建 create_resource 节点（创建板子）
+--------------------------------------------------------------------------------
+- 首先创建一个 Group 节点（type="Group", minimized=true），用于包含所有 create_resource 节点
+- 遍历所有 reagent，按 slot 去重，为每个唯一的 slot 创建一个板子
+- 所有 create_resource 节点的 parent_uuid 指向 Group 节点，minimized=true
+- 生成参数:
+    res_id: plate_slot_{slot}
+    device_id: /PRCXI
+    class_name: PRCXI_BioER_96_wellplate
+    parent: /PRCXI/PRCXI_Deck/T{slot}
+    slot_on_deck: "{slot}"
+- 输出端口: labware（用于连接 set_liquid_from_plate）
+- 控制流: create_resource 之间通过 ready 端口串联
+
+示例: slot=1, slot=4 -> 创建 1 个 Group + 2 个 create_resource 节点
+
+第二步: 为每个 reagent 创建 set_liquid_from_plate 节点（设置液体）
+--------------------------------------------------------------------------------
+- 首先创建一个 Group 节点（type="Group", minimized=true），用于包含所有 set_liquid_from_plate 节点
+- 遍历所有 reagent，为每个试剂创建 set_liquid_from_plate 节点
+- 所有 set_liquid_from_plate 节点的 parent_uuid 指向 Group 节点，minimized=true
+- 生成参数:
+    plate: []（通过连接传递，来自 create_resource 的 labware）
+    well_names: ["A1", "A3", "A5"]（来自 reagent 的 well 数组）
+    liquid_names: ["cell_lines", "cell_lines", "cell_lines"]（与 well 数量一致）
+    volumes: [1e5, 1e5, 1e5]（与 well 数量一致，默认体积）
+- 输入连接: create_resource (labware) -> set_liquid_from_plate (input_plate)
+- 输出端口: output_wells（用于连接 transfer_liquid）
+- 控制流: set_liquid_from_plate 连接在所有 create_resource 之后，通过 ready 端口串联
+
+第三步: 解析 workflow，创建 transfer_liquid 等动作节点
+--------------------------------------------------------------------------------
+- 遍历 workflow 数组，为每个动作创建步骤节点
+- 参数重命名: asp_vol -> asp_vols, dis_vol -> dis_vols, asp_flow_rate -> asp_flow_rates, dis_flow_rate -> dis_flow_rates
+- 参数扩展: 根据 targets 的 wells 数量，将单值扩展为数组
+    例: asp_vol=100.0, targets 有 3 个 wells -> asp_vols=[100.0, 100.0, 100.0]
+- 连接处理: 如果 sources/targets 已通过 set_liquid_from_plate 连接，参数值改为 []
+- 输入连接: set_liquid_from_plate (output_wells) -> transfer_liquid (sources_identifier / targets_identifier)
+- 输出端口: sources_out, targets_out（用于连接下一个 transfer_liquid）
+
+==================== 连接关系图 ====================
+
+控制流 (ready 端口串联):
+    create_resource_1 -> create_resource_2 -> ... -> set_liquid_1 -> set_liquid_2 -> ... -> transfer_liquid_1 -> transfer_liquid_2 -> ...
+
+物料流:
+    [create_resource] --labware--> [set_liquid_from_plate] --output_wells--> [transfer_liquid] --sources_out/targets_out--> [下一个 transfer_liquid]
+          (slot=1)                    (cell_lines)           (input_plate)     (sources_identifier)                          (sources_identifier)
+          (slot=4)                    (Liquid_1)                               (targets_identifier)                          (targets_identifier)
+
+==================== 端口映射 ====================
+
+create_resource:
+    输出: labware
+
+set_liquid_from_plate:
+    输入: input_plate
+    输出: output_plate, output_wells
+
+transfer_liquid:
+    输入: sources -> sources_identifier, targets -> targets_identifier
+    输出: sources -> sources_out, targets -> targets_out
+
+==================== 设备名配置 (device_name) ====================
+
+每个节点都有 device_name 字段，指定在哪个设备上执行:
+- create_resource: device_name = "host_node"（固定）
+- set_liquid_from_plate: device_name = "PRCXI"（可配置，见 DEVICE_NAME_DEFAULT）
+- transfer_liquid 等动作: device_name = "PRCXI"（可配置，见 DEVICE_NAME_DEFAULT）
+
+==================== 校验规则 ====================
+
+- 检查 sources/targets 是否在 reagent 中定义
+- 检查 sources 和 targets 的 wells 数量是否匹配
+- 检查参数数组长度是否与 wells 数量一致
+- 如有问题，在 footer 中添加 [WARN: ...] 标记
+"""
+
 import re
 import uuid
 
@@ -8,6 +105,35 @@ from typing import Dict, List, Any, Tuple, Optional
 
 Json = Dict[str, Any]
 
+
+# ==================== 默认配置 ====================
+
+# 设备名配置
+DEVICE_NAME_HOST = "host_node"  # create_resource 固定在 host_node 上执行
+DEVICE_NAME_DEFAULT = "PRCXI"  # transfer_liquid, set_liquid_from_plate 等动作的默认设备名
+
+# 节点类型
+NODE_TYPE_DEFAULT = "ILab"  # 所有节点的默认类型
+
+# create_resource 节点默认参数
+CREATE_RESOURCE_DEFAULTS = {
+    "device_id": "/PRCXI",
+    "parent_template": "/PRCXI/PRCXI_Deck/T{slot}",  # {slot} 会被替换为实际的 slot 值
+    "class_name": "PRCXI_BioER_96_wellplate",
+}
+
+# 默认液体体积 (uL)
+DEFAULT_LIQUID_VOLUME = 1e5
+
+# 参数重命名映射：单数 -> 复数（用于 transfer_liquid 等动作）
+PARAM_RENAME_MAPPING = {
+    "asp_vol": "asp_vols",
+    "dis_vol": "dis_vols",
+    "asp_flow_rate": "asp_flow_rates",
+    "dis_flow_rate": "dis_flow_rates",
+}
+
+
 # ---------------- Graph ----------------
 
 
@@ -228,7 +354,7 @@ def refactor_data(
 
 
 def build_protocol_graph(
-    labware_info: List[Dict[str, Any]],
+    labware_info: Dict[str, Dict[str, Any]],
     protocol_steps: List[Dict[str, Any]],
     workstation_name: str,
     action_resource_mapping: Optional[Dict[str, str]] = None,
@@ -236,112 +362,267 @@ def build_protocol_graph(
     """统一的协议图构建函数，根据设备类型自动选择构建逻辑
 
     Args:
-        labware_info: labware 信息字典
+        labware_info: labware 信息字典，格式为 {name: {slot, well, labware, ...}, ...}
         protocol_steps: 协议步骤列表
         workstation_name: 工作站名称
         action_resource_mapping: action 到 resource_name 的映射字典，可选
     """
     G = WorkflowGraph()
-    resource_last_writer = {}
+    resource_last_writer = {}  # reagent_name -> "node_id:port"
+    slot_to_create_resource = {}  # slot -> create_resource node_id
 
     protocol_steps = refactor_data(protocol_steps, action_resource_mapping)
-    # 有机化学&移液站协议图构建
-    WORKSTATION_ID = workstation_name
 
-    # 为所有labware创建资源节点
-    res_index = 0
+    # ==================== 第一步：按 slot 去重创建 create_resource 节点 ====================
+    # 收集所有唯一的 slot
+    slots_info = {}  # slot -> {labware, res_id}
     for labware_id, item in labware_info.items():
-        # item_id = item.get("id") or item.get("name", f"item_{uuid.uuid4()}")
-        node_id = str(uuid.uuid4())
+        slot = str(item.get("slot", ""))
+        if slot and slot not in slots_info:
+            res_id = f"plate_slot_{slot}"
+            slots_info[slot] = {
+                "labware": item.get("labware", ""),
+                "res_id": res_id,
+            }
 
-        # 判断节点类型
-        if "Rack" in str(labware_id) or "Tip" in str(labware_id):
-            lab_node_type = "Labware"
-            description = f"Prepare Labware: {labware_id}"
-            liquid_type = []
-            liquid_volume = []
-        elif item.get("type") == "hardware" or "reactor" in str(labware_id).lower():
-            if "reactor" not in str(labware_id).lower():
-                continue
-            lab_node_type = "Sample"
-            description = f"Prepare Reactor: {labware_id}"
-            liquid_type = []
-            liquid_volume = []
-        else:
-            lab_node_type = "Reagent"
-            description = f"Add Reagent to Flask: {labware_id}"
-            liquid_type = [labware_id]
-            liquid_volume = [1e5]
+    # 创建 Group 节点，包含所有 create_resource 节点
+    group_node_id = str(uuid.uuid4())
+    G.add_node(
+        group_node_id,
+        name="Resources Group",
+        type="Group",
+        parent_uuid="",
+        lab_node_type="Device",
+        template_name="",
+        resource_name="",
+        footer="",
+        minimized=True,
+        param=None,
+    )
+
+    # 为每个唯一的 slot 创建 create_resource 节点
+    res_index = 0
+    last_create_resource_id = None
+    for slot, info in slots_info.items():
+        node_id = str(uuid.uuid4())
+        res_id = info["res_id"]
 
         res_index += 1
         G.add_node(
             node_id,
             template_name="create_resource",
             resource_name="host_node",
-            name=f"Res {res_index}",
-            description=description,
-            lab_node_type=lab_node_type,
+            name=f"Plate {res_index}",
+            description=f"Create plate on slot {slot}",
+            lab_node_type="Labware",
             footer="create_resource-host_node",
+            device_name=DEVICE_NAME_HOST,
+            type=NODE_TYPE_DEFAULT,
+            parent_uuid=group_node_id,  # 指向 Group 节点
+            minimized=True,  # 折叠显示
             param={
-                "res_id": labware_id,
-                "device_id": WORKSTATION_ID,
-                "class_name": "container",
-                "parent": WORKSTATION_ID,
+                "res_id": res_id,
+                "device_id": CREATE_RESOURCE_DEFAULTS["device_id"],
+                "class_name": CREATE_RESOURCE_DEFAULTS["class_name"],
+                "parent": CREATE_RESOURCE_DEFAULTS["parent_template"].format(slot=slot),
                 "bind_locations": {"x": 0.0, "y": 0.0, "z": 0.0},
-                "liquid_input_slot": [-1],
-                "liquid_type": liquid_type,
-                "liquid_volume": liquid_volume,
-                "slot_on_deck": "",
+                "slot_on_deck": slot,
             },
         )
-        resource_last_writer[labware_id] = f"{node_id}:labware"
+        slot_to_create_resource[slot] = node_id
 
-    last_control_node_id = None
+        # create_resource 之间通过 ready 串联
+        if last_create_resource_id is not None:
+            G.add_edge(last_create_resource_id, node_id, source_port="ready", target_port="ready")
+        last_create_resource_id = node_id
+
+    # ==================== 第二步：为每个 reagent 创建 set_liquid_from_plate 节点 ====================
+    # 创建 Group 节点，包含所有 set_liquid_from_plate 节点
+    set_liquid_group_id = str(uuid.uuid4())
+    G.add_node(
+        set_liquid_group_id,
+        name="SetLiquid Group",
+        type="Group",
+        parent_uuid="",
+        lab_node_type="Device",
+        template_name="",
+        resource_name="",
+        footer="",
+        minimized=True,
+        param=None,
+    )
+
+    set_liquid_index = 0
+    last_set_liquid_id = last_create_resource_id  # set_liquid_from_plate 连接在 create_resource 之后
+
+    for labware_id, item in labware_info.items():
+        # 跳过 Tip/Rack 类型
+        if "Rack" in str(labware_id) or "Tip" in str(labware_id):
+            continue
+        if item.get("type") == "hardware":
+            continue
+
+        slot = str(item.get("slot", ""))
+        wells = item.get("well", [])
+        if not wells or not slot:
+            continue
+
+        # res_id 不能有空格
+        res_id = str(labware_id).replace(" ", "_")
+        well_count = len(wells)
+
+        node_id = str(uuid.uuid4())
+        set_liquid_index += 1
+
+        G.add_node(
+            node_id,
+            template_name="set_liquid_from_plate",
+            resource_name="liquid_handler.prcxi",
+            name=f"SetLiquid {set_liquid_index}",
+            description=f"Set liquid: {labware_id}",
+            lab_node_type="Reagent",
+            footer="set_liquid_from_plate-liquid_handler.prcxi",
+            device_name=DEVICE_NAME_DEFAULT,
+            type=NODE_TYPE_DEFAULT,
+            parent_uuid=set_liquid_group_id,  # 指向 Group 节点
+            minimized=True,  # 折叠显示
+            param={
+                "plate": [],  # 通过连接传递
+                "well_names": wells,  # 孔位名数组，如 ["A1", "A3", "A5"]
+                "liquid_names": [res_id] * well_count,
+                "volumes": [DEFAULT_LIQUID_VOLUME] * well_count,
+            },
+        )
+
+        # ready 连接：上一个节点 -> set_liquid_from_plate
+        if last_set_liquid_id is not None:
+            G.add_edge(last_set_liquid_id, node_id, source_port="ready", target_port="ready")
+        last_set_liquid_id = node_id
+
+        # 物料流：create_resource 的 labware -> set_liquid_from_plate 的 input_plate
+        create_res_node_id = slot_to_create_resource.get(slot)
+        if create_res_node_id:
+            G.add_edge(create_res_node_id, node_id, source_port="labware", target_port="input_plate")
+
+        # set_liquid_from_plate 的输出 output_wells 用于连接 transfer_liquid
+        resource_last_writer[labware_id] = f"{node_id}:output_wells"
+
+    last_control_node_id = last_set_liquid_id
+
+    # 端口名称映射：JSON 字段名 -> 实际 handle key
+    INPUT_PORT_MAPPING = {
+        "sources": "sources_identifier",
+        "targets": "targets_identifier",
+        "vessel": "vessel",
+        "to_vessel": "to_vessel",
+        "from_vessel": "from_vessel",
+        "reagent": "reagent",
+        "solvent": "solvent",
+        "compound": "compound",
+    }
+
+    OUTPUT_PORT_MAPPING = {
+        "sources": "sources_out",  # 输出端口是 xxx_out
+        "targets": "targets_out",  # 输出端口是 xxx_out
+        "vessel": "vessel_out",
+        "to_vessel": "to_vessel_out",
+        "from_vessel": "from_vessel_out",
+        "filtrate_vessel": "filtrate_out",
+        "reagent": "reagent",
+        "solvent": "solvent",
+        "compound": "compound",
+    }
+
+    # 需要根据 wells 数量扩展的参数列表（复数形式）
+    EXPAND_BY_WELLS_PARAMS = ["asp_vols", "dis_vols", "asp_flow_rates", "dis_flow_rates"]
 
     # 处理协议步骤
     for step in protocol_steps:
         node_id = str(uuid.uuid4())
-        G.add_node(node_id, **step)
+        params = step.get("param", {}).copy()  # 复制一份，避免修改原数据
+        connected_params = set()  # 记录被连接的参数
+        warnings = []  # 收集警告信息
+
+        # 参数重命名：单数 -> 复数
+        for old_name, new_name in PARAM_RENAME_MAPPING.items():
+            if old_name in params:
+                params[new_name] = params.pop(old_name)
+
+        # 处理输入连接
+        for param_key, target_port in INPUT_PORT_MAPPING.items():
+            resource_name = params.get(param_key)
+            if resource_name and resource_name in resource_last_writer:
+                source_node, source_port = resource_last_writer[resource_name].split(":")
+                G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
+                connected_params.add(param_key)
+            elif resource_name and resource_name not in resource_last_writer:
+                # 资源名在 labware_info 中不存在
+                warnings.append(f"{param_key}={resource_name} 未找到")
+
+        # 获取 targets 对应的 wells 数量，用于扩展参数
+        targets_name = params.get("targets")
+        sources_name = params.get("sources")
+        targets_wells_count = 1
+        sources_wells_count = 1
+
+        if targets_name and targets_name in labware_info:
+            target_wells = labware_info[targets_name].get("well", [])
+            targets_wells_count = len(target_wells) if target_wells else 1
+        elif targets_name:
+            warnings.append(f"targets={targets_name} 未在 reagent 中定义")
+
+        if sources_name and sources_name in labware_info:
+            source_wells = labware_info[sources_name].get("well", [])
+            sources_wells_count = len(source_wells) if source_wells else 1
+        elif sources_name:
+            warnings.append(f"sources={sources_name} 未在 reagent 中定义")
+
+        # 检查 sources 和 targets 的 wells 数量是否匹配
+        if targets_wells_count != sources_wells_count and targets_name and sources_name:
+            warnings.append(f"wells 数量不匹配: sources={sources_wells_count}, targets={targets_wells_count}")
+
+        # 使用 targets 的 wells 数量来扩展参数
+        wells_count = targets_wells_count
+
+        # 扩展单值参数为数组（根据 targets 的 wells 数量）
+        for expand_param in EXPAND_BY_WELLS_PARAMS:
+            if expand_param in params:
+                value = params[expand_param]
+                # 如果是单个值，扩展为数组
+                if not isinstance(value, list):
+                    params[expand_param] = [value] * wells_count
+                # 如果已经是数组但长度不对，记录警告
+                elif len(value) != wells_count:
+                    warnings.append(f"{expand_param} 数量({len(value)})与 wells({wells_count})不匹配")
+
+        # 如果 sources/targets 已通过连接传递，将参数值改为空数组
+        for param_key in connected_params:
+            if param_key in params:
+                params[param_key] = []
+
+        # 更新 step 的 param、footer、device_name 和 type
+        step_copy = step.copy()
+        step_copy["param"] = params
+        step_copy["device_name"] = DEVICE_NAME_DEFAULT  # 动作节点使用默认设备名
+        step_copy["type"] = NODE_TYPE_DEFAULT  # 节点类型
+
+        # 如果有警告，修改 footer 添加警告标记（警告放前面）
+        if warnings:
+            original_footer = step.get("footer", "")
+            step_copy["footer"] = f"[WARN: {'; '.join(warnings)}] {original_footer}"
+
+        G.add_node(node_id, **step_copy)
 
         # 控制流
         if last_control_node_id is not None:
             G.add_edge(last_control_node_id, node_id, source_port="ready", target_port="ready")
         last_control_node_id = node_id
 
-        # 物料流
-        params = step.get("param", {})
-        input_resources_possible_names = [
-            "vessel",
-            "to_vessel",
-            "from_vessel",
-            "reagent",
-            "solvent",
-            "compound",
-            "sources",
-            "targets",
-        ]
-
-        for target_port in input_resources_possible_names:
-            resource_name = params.get(target_port)
-            if resource_name and resource_name in resource_last_writer:
-                source_node, source_port = resource_last_writer[resource_name].split(":")
-                G.add_edge(source_node, node_id, source_port=source_port, target_port=target_port)
-
-        output_resources = {
-            "vessel_out": params.get("vessel"),
-            "from_vessel_out": params.get("from_vessel"),
-            "to_vessel_out": params.get("to_vessel"),
-            "filtrate_out": params.get("filtrate_vessel"),
-            "reagent": params.get("reagent"),
-            "solvent": params.get("solvent"),
-            "compound": params.get("compound"),
-            "sources_out": params.get("sources"),
-            "targets_out": params.get("targets"),
-        }
-
-        for source_port, resource_name in output_resources.items():
+        # 处理输出：更新 resource_last_writer
+        for param_key, output_port in OUTPUT_PORT_MAPPING.items():
+            resource_name = step.get("param", {}).get(param_key)  # 使用原始参数值
             if resource_name:
-                resource_last_writer[resource_name] = f"{node_id}:{source_port}"
+                resource_last_writer[resource_name] = f"{node_id}:{output_port}"
 
     return G
 

unilabos/workflow/convert_from_json.py

@@ -1,21 +1,68 @@
 """
 JSON 工作流转换模块
 
-提供从多种 JSON 格式转换为统一工作流格式的功能。
-支持的格式：
-1. workflow/reagent 格式
-2. steps_info/labware_info 格式
+将 workflow/reagent 格式的 JSON 转换为统一工作流格式。
+
+输入格式:
+{
+    "workflow": [
+        {"action": "...", "action_args": {...}},
+        ...
+    ],
+    "reagent": {
+        "reagent_name": {"slot": int, "well": [...], "labware": "..."},
+        ...
+    }
+}
 """
 
 import json
 from os import PathLike
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Set, Tuple, Union
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
 from unilabos.registry.registry import lab_registry
 
 
+# ==================== 字段映射配置 ====================
+
+# action 到 resource_name 的映射
+ACTION_RESOURCE_MAPPING: Dict[str, str] = {
+    # 生物实验操作
+    "transfer_liquid": "liquid_handler.prcxi",
+    "transfer": "liquid_handler.prcxi",
+    "incubation": "incubator.prcxi",
+    "move_labware": "labware_mover.prcxi",
+    "oscillation": "shaker.prcxi",
+    # 有机化学操作
+    "HeatChillToTemp": "heatchill.chemputer",
+    "StopHeatChill": "heatchill.chemputer",
+    "StartHeatChill": "heatchill.chemputer",
+    "HeatChill": "heatchill.chemputer",
+    "Dissolve": "stirrer.chemputer",
+    "Transfer": "liquid_handler.chemputer",
+    "Evaporate": "rotavap.chemputer",
+    "Recrystallize": "reactor.chemputer",
+    "Filter": "filter.chemputer",
+    "Dry": "dryer.chemputer",
+    "Add": "liquid_handler.chemputer",
+}
+
+# action_args 字段到 parameters 字段的映射
+# 格式: {"old_key": "new_key"}, 仅映射需要重命名的字段
+ARGS_FIELD_MAPPING: Dict[str, str] = {
+    # 如果需要字段重命名，在这里配置
+    # "old_field_name": "new_field_name",
+}
+
+# 默认工作站名称
+DEFAULT_WORKSTATION = "PRCXI"
+
+
+# ==================== 核心转换函数 ====================
+
+
 def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
     """
     从 registry 获取指定设备和动作的 handles 配置
@@ -39,12 +86,10 @@ def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List
     handles = action_config.get("handles", {})
 
     if isinstance(handles, dict):
-        # 处理 input handles (作为 target)
         for handle in handles.get("input", []):
             handler_key = handle.get("handler_key", "")
             if handler_key:
                 result["source"].append(handler_key)
-        # 处理 output handles (作为 source)
         for handle in handles.get("output", []):
             handler_key = handle.get("handler_key", "")
             if handler_key:
@@ -69,12 +114,9 @@ def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
     for edge in graph.edges:
         left_uuid = edge.get("source")
         right_uuid = edge.get("target")
-        # target_handle_key是target, right的输入节点（入节点）
-        # source_handle_key是source, left的输出节点（出节点）
         right_source_conn_key = edge.get("target_handle_key", "")
         left_target_conn_key = edge.get("source_handle_key", "")
 
-        # 获取源节点和目标节点信息
         left_node = nodes.get(left_uuid, {})
         right_node = nodes.get(right_uuid, {})
 
@@ -83,164 +125,93 @@ def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
         right_res_name = right_node.get("resource_name", "")
         right_template_name = right_node.get("template_name", "")
 
-        # 获取源节点的 output handles
         left_node_handles = get_action_handles(left_res_name, left_template_name)
         target_valid_keys = left_node_handles.get("target", [])
         target_valid_keys.append("ready")
 
-        # 获取目标节点的 input handles
         right_node_handles = get_action_handles(right_res_name, right_template_name)
         source_valid_keys = right_node_handles.get("source", [])
         source_valid_keys.append("ready")
 
-        # 如果节点配置了 output handles，则 source_port 必须有效
+        # 验证目标节点（right）的输入端口
         if not right_source_conn_key:
-            node_name = left_node.get("name", left_uuid[:8])
-            errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空，" f"应设置为: {source_valid_keys}")
+            node_name = right_node.get("name", right_uuid[:8])
+            errors.append(f"目标节点 '{node_name}' 的输入端口 (target_handle_key) 为空，应设置为: {source_valid_keys}")
         elif right_source_conn_key not in source_valid_keys:
-            node_name = left_node.get("name", left_uuid[:8])
+            node_name = right_node.get("name", right_uuid[:8])
             errors.append(
-                f"源节点 '{node_name}' 的 source 端点 '{right_source_conn_key}' 不存在，" f"支持的端点: {source_valid_keys}"
+                f"目标节点 '{node_name}' 的输入端口 '{right_source_conn_key}' 不存在，支持的输入端口: {source_valid_keys}"
             )
 
-        # 如果节点配置了 input handles，则 target_port 必须有效
+        # 验证源节点（left）的输出端口
         if not left_target_conn_key:
-            node_name = right_node.get("name", right_uuid[:8])
-            errors.append(f"目标节点 '{node_name}' 的 target_handle_key 为空，" f"应设置为: {target_valid_keys}")
+            node_name = left_node.get("name", left_uuid[:8])
+            errors.append(f"源节点 '{node_name}' 的输出端口 (source_handle_key) 为空，应设置为: {target_valid_keys}")
         elif left_target_conn_key not in target_valid_keys:
-            node_name = right_node.get("name", right_uuid[:8])
+            node_name = left_node.get("name", left_uuid[:8])
             errors.append(
-                f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在，"
-                f"支持的端点: {target_valid_keys}"
+                f"源节点 '{node_name}' 的输出端口 '{left_target_conn_key}' 不存在，支持的输出端口: {target_valid_keys}"
             )
 
     return len(errors) == 0, errors
 
 
-# action 到 resource_name 的映射
-ACTION_RESOURCE_MAPPING: Dict[str, str] = {
-    # 生物实验操作
-    "transfer_liquid": "liquid_handler.prcxi",
-    "transfer": "liquid_handler.prcxi",
-    "incubation": "incubator.prcxi",
-    "move_labware": "labware_mover.prcxi",
-    "oscillation": "shaker.prcxi",
-    # 有机化学操作
-    "HeatChillToTemp": "heatchill.chemputer",
-    "StopHeatChill": "heatchill.chemputer",
-    "StartHeatChill": "heatchill.chemputer",
-    "HeatChill": "heatchill.chemputer",
-    "Dissolve": "stirrer.chemputer",
-    "Transfer": "liquid_handler.chemputer",
-    "Evaporate": "rotavap.chemputer",
-    "Recrystallize": "reactor.chemputer",
-    "Filter": "filter.chemputer",
-    "Dry": "dryer.chemputer",
-    "Add": "liquid_handler.chemputer",
-}
-
-
-def normalize_steps(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+def normalize_workflow_steps(workflow: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
     """
-    将不同格式的步骤数据规范化为统一格式
+    将 workflow 格式的步骤数据规范化
 
-    支持的输入格式：
-    - action + parameters
-    - action + action_args
-    - operation + parameters
+    输入格式:
+        [{"action": "...", "action_args": {...}}, ...]
+
+    输出格式:
+        [{"action": "...", "parameters": {...}, "step_number": int}, ...]
 
     Args:
-        data: 原始步骤数据列表
+        workflow: workflow 数组
 
     Returns:
-        规范化后的步骤列表，格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
+        规范化后的步骤列表
     """
     normalized = []
-    for idx, step in enumerate(data):
-        # 获取动作名称（支持 action 或 operation 字段）
-        action = step.get("action") or step.get("operation")
+    for idx, step in enumerate(workflow):
+        action = step.get("action")
         if not action:
             continue
 
-        # 获取参数（支持 parameters 或 action_args 字段）
-        raw_params = step.get("parameters") or step.get("action_args") or {}
-        params = dict(raw_params)
+        # 获取参数: action_args
+        raw_params = step.get("action_args", {})
+        params = {}
 
-        # 规范化 source/target -> sources/targets
-        if "source" in raw_params and "sources" not in raw_params:
-            params["sources"] = raw_params["source"]
-        if "target" in raw_params and "targets" not in raw_params:
-            params["targets"] = raw_params["target"]
+        # 应用字段映射
+        for key, value in raw_params.items():
+            mapped_key = ARGS_FIELD_MAPPING.get(key, key)
+            params[mapped_key] = value
 
-        # 获取描述（支持 description 或 purpose 字段）
-        description = step.get("description") or step.get("purpose")
+        step_dict = {
+            "action": action,
+            "parameters": params,
+            "step_number": idx + 1,
+        }
 
-        # 获取步骤编号（优先使用原始数据中的 step_number，否则使用索引+1）
-        step_number = step.get("step_number", idx + 1)
-
-        step_dict = {"action": action, "parameters": params, "step_number": step_number}
-        if description:
-            step_dict["description"] = description
+        # 保留描述字段
+        if "description" in step:
+            step_dict["description"] = step["description"]
 
         normalized.append(step_dict)
 
     return normalized
 
 
-def normalize_labware(data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
-    """
-    将不同格式的 labware 数据规范化为统一的字典格式
-
-    支持的输入格式：
-    - reagent_name + material_name + positions
-    - name + labware + slot
-
-    Args:
-        data: 原始 labware 数据列表
-
-    Returns:
-        规范化后的 labware 字典，格式为 {name: {"slot": int, "labware": str, "well": list, "type": str, "role": str, "name": str}, ...}
-    """
-    labware = {}
-    for item in data:
-        # 获取 key 名称（优先使用 reagent_name，其次是 material_name 或 name）
-        reagent_name = item.get("reagent_name")
-        key = reagent_name or item.get("material_name") or item.get("name")
-        if not key:
-            continue
-
-        key = str(key)
-
-        # 处理重复 key，自动添加后缀
-        idx = 1
-        original_key = key
-        while key in labware:
-            idx += 1
-            key = f"{original_key}_{idx}"
-
-        labware[key] = {
-            "slot": item.get("positions") or item.get("slot"),
-            "labware": item.get("material_name") or item.get("labware"),
-            "well": item.get("well", []),
-            "type": item.get("type", "reagent"),
-            "role": item.get("role", ""),
-            "name": key,
-        }
-
-    return labware
-
-
 def convert_from_json(
     data: Union[str, PathLike, Dict[str, Any]],
-    workstation_name: str = "PRCXi",
+    workstation_name: str = DEFAULT_WORKSTATION,
     validate: bool = True,
 ) -> WorkflowGraph:
     """
     从 JSON 数据或文件转换为 WorkflowGraph
 
-    支持的 JSON 格式：
-    1. {"workflow": [...], "reagent": {...}} - 直接格式
-    2. {"steps_info": [...], "labware_info": [...]} - 需要规范化的格式
+    JSON 格式:
+        {"workflow": [...], "reagent": {...}}
 
     Args:
         data: JSON 文件路径、字典数据、或 JSON 字符串
@@ -251,7 +222,7 @@ def convert_from_json(
         WorkflowGraph: 构建好的工作流图
 
     Raises:
-        ValueError: 不支持的 JSON 格式 或 句柄校验失败
+        ValueError: 不支持的 JSON 格式
         FileNotFoundError: 文件不存在
         json.JSONDecodeError: JSON 解析失败
     """
@@ -262,7 +233,6 @@ def convert_from_json(
             with path.open("r", encoding="utf-8") as fp:
                 json_data = json.load(fp)
         elif isinstance(data, str):
-            # 尝试作为 JSON 字符串解析
             json_data = json.loads(data)
         else:
             raise FileNotFoundError(f"文件不存在: {data}")
@@ -271,30 +241,24 @@ def convert_from_json(
     else:
         raise TypeError(f"不支持的数据类型: {type(data)}")
 
-    # 根据格式解析数据
-    if "workflow" in json_data and "reagent" in json_data:
-        # 格式1: workflow/reagent（已经是规范格式）
-        protocol_steps = json_data["workflow"]
-        labware_info = json_data["reagent"]
-    elif "steps_info" in json_data and "labware_info" in json_data:
-        # 格式2: steps_info/labware_info（需要规范化）
-        protocol_steps = normalize_steps(json_data["steps_info"])
-        labware_info = normalize_labware(json_data["labware_info"])
-    elif "steps" in json_data and "labware" in json_data:
-        # 格式3: steps/labware（另一种常见格式）
-        protocol_steps = normalize_steps(json_data["steps"])
-        if isinstance(json_data["labware"], list):
-            labware_info = normalize_labware(json_data["labware"])
-        else:
-            labware_info = json_data["labware"]
-    else:
+    # 校验格式
+    if "workflow" not in json_data or "reagent" not in json_data:
         raise ValueError(
-            "不支持的 JSON 格式。支持的格式：\n"
-            "1. {'workflow': [...], 'reagent': {...}}\n"
-            "2. {'steps_info': [...], 'labware_info': [...]}\n"
-            "3. {'steps': [...], 'labware': [...]}"
+            "不支持的 JSON 格式。请使用标准格式:\n"
+            '{"workflow": [{"action": "...", "action_args": {...}}, ...], '
+            '"reagent": {"name": {"slot": int, "well": [...], "labware": "..."}, ...}}'
         )
 
+    # 提取数据
+    workflow = json_data["workflow"]
+    reagent = json_data["reagent"]
+
+    # 规范化步骤数据
+    protocol_steps = normalize_workflow_steps(workflow)
+
+    # reagent 已经是字典格式，直接使用
+    labware_info = reagent
+
     # 构建工作流图
     graph = build_protocol_graph(
         labware_info=labware_info,
@@ -317,7 +281,7 @@ def convert_from_json(
 
 def convert_json_to_node_link(
     data: Union[str, PathLike, Dict[str, Any]],
-    workstation_name: str = "PRCXi",
+    workstation_name: str = DEFAULT_WORKSTATION,
 ) -> Dict[str, Any]:
     """
     将 JSON 数据转换为 node-link 格式的字典
@@ -335,7 +299,7 @@ def convert_json_to_node_link(
 
 def convert_json_to_workflow_list(
     data: Union[str, PathLike, Dict[str, Any]],
-    workstation_name: str = "PRCXi",
+    workstation_name: str = DEFAULT_WORKSTATION,
 ) -> List[Dict[str, Any]]:
     """
     将 JSON 数据转换为工作流列表格式
@@ -349,8 +313,3 @@ def convert_json_to_workflow_list(
     """
     graph = convert_from_json(data, workstation_name)
     return graph.to_dict()
-
-
-# 为了向后兼容，保留下划线前缀的别名
-_normalize_steps = normalize_steps
-_normalize_labware = normalize_labware

unilabos/workflow/legacy/convert_from_json_legacy.py

@@ -0,0 +1,356 @@
+"""
+JSON 工作流转换模块
+
+提供从多种 JSON 格式转换为统一工作流格式的功能。
+支持的格式：
+1. workflow/reagent 格式
+2. steps_info/labware_info 格式
+"""
+
+import json
+from os import PathLike
+from pathlib import Path
+from typing import Any, Dict, List, Optional, Set, Tuple, Union
+
+from unilabos.workflow.common import WorkflowGraph, build_protocol_graph
+from unilabos.registry.registry import lab_registry
+
+
+def get_action_handles(resource_name: str, template_name: str) -> Dict[str, List[str]]:
+    """
+    从 registry 获取指定设备和动作的 handles 配置
+
+    Args:
+        resource_name: 设备资源名称，如 "liquid_handler.prcxi"
+        template_name: 动作模板名称，如 "transfer_liquid"
+
+    Returns:
+        包含 source 和 target handler_keys 的字典:
+        {"source": ["sources_out", "targets_out", ...], "target": ["sources", "targets", ...]}
+    """
+    result = {"source": [], "target": []}
+
+    device_info = lab_registry.device_type_registry.get(resource_name, {})
+    if not device_info:
+        return result
+
+    action_mappings = device_info.get("class", {}).get("action_value_mappings", {})
+    action_config = action_mappings.get(template_name, {})
+    handles = action_config.get("handles", {})
+
+    if isinstance(handles, dict):
+        # 处理 input handles (作为 target)
+        for handle in handles.get("input", []):
+            handler_key = handle.get("handler_key", "")
+            if handler_key:
+                result["source"].append(handler_key)
+        # 处理 output handles (作为 source)
+        for handle in handles.get("output", []):
+            handler_key = handle.get("handler_key", "")
+            if handler_key:
+                result["target"].append(handler_key)
+
+    return result
+
+
+def validate_workflow_handles(graph: WorkflowGraph) -> Tuple[bool, List[str]]:
+    """
+    校验工作流图中所有边的句柄配置是否正确
+
+    Args:
+        graph: 工作流图对象
+
+    Returns:
+        (is_valid, errors): 是否有效，错误信息列表
+    """
+    errors = []
+    nodes = graph.nodes
+
+    for edge in graph.edges:
+        left_uuid = edge.get("source")
+        right_uuid = edge.get("target")
+        # target_handle_key是target, right的输入节点（入节点）
+        # source_handle_key是source, left的输出节点（出节点）
+        right_source_conn_key = edge.get("target_handle_key", "")
+        left_target_conn_key = edge.get("source_handle_key", "")
+
+        # 获取源节点和目标节点信息
+        left_node = nodes.get(left_uuid, {})
+        right_node = nodes.get(right_uuid, {})
+
+        left_res_name = left_node.get("resource_name", "")
+        left_template_name = left_node.get("template_name", "")
+        right_res_name = right_node.get("resource_name", "")
+        right_template_name = right_node.get("template_name", "")
+
+        # 获取源节点的 output handles
+        left_node_handles = get_action_handles(left_res_name, left_template_name)
+        target_valid_keys = left_node_handles.get("target", [])
+        target_valid_keys.append("ready")
+
+        # 获取目标节点的 input handles
+        right_node_handles = get_action_handles(right_res_name, right_template_name)
+        source_valid_keys = right_node_handles.get("source", [])
+        source_valid_keys.append("ready")
+
+        # 如果节点配置了 output handles，则 source_port 必须有效
+        if not right_source_conn_key:
+            node_name = left_node.get("name", left_uuid[:8])
+            errors.append(f"源节点 '{node_name}' 的 source_handle_key 为空，" f"应设置为: {source_valid_keys}")
+        elif right_source_conn_key not in source_valid_keys:
+            node_name = left_node.get("name", left_uuid[:8])
+            errors.append(
+                f"源节点 '{node_name}' 的 source 端点 '{right_source_conn_key}' 不存在，" f"支持的端点: {source_valid_keys}"
+            )
+
+        # 如果节点配置了 input handles，则 target_port 必须有效
+        if not left_target_conn_key:
+            node_name = right_node.get("name", right_uuid[:8])
+            errors.append(f"目标节点 '{node_name}' 的 target_handle_key 为空，" f"应设置为: {target_valid_keys}")
+        elif left_target_conn_key not in target_valid_keys:
+            node_name = right_node.get("name", right_uuid[:8])
+            errors.append(
+                f"目标节点 '{node_name}' 的 target 端点 '{left_target_conn_key}' 不存在，"
+                f"支持的端点: {target_valid_keys}"
+            )
+
+    return len(errors) == 0, errors
+
+
+# action 到 resource_name 的映射
+ACTION_RESOURCE_MAPPING: Dict[str, str] = {
+    # 生物实验操作
+    "transfer_liquid": "liquid_handler.prcxi",
+    "transfer": "liquid_handler.prcxi",
+    "incubation": "incubator.prcxi",
+    "move_labware": "labware_mover.prcxi",
+    "oscillation": "shaker.prcxi",
+    # 有机化学操作
+    "HeatChillToTemp": "heatchill.chemputer",
+    "StopHeatChill": "heatchill.chemputer",
+    "StartHeatChill": "heatchill.chemputer",
+    "HeatChill": "heatchill.chemputer",
+    "Dissolve": "stirrer.chemputer",
+    "Transfer": "liquid_handler.chemputer",
+    "Evaporate": "rotavap.chemputer",
+    "Recrystallize": "reactor.chemputer",
+    "Filter": "filter.chemputer",
+    "Dry": "dryer.chemputer",
+    "Add": "liquid_handler.chemputer",
+}
+
+
+def normalize_steps(data: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+    """
+    将不同格式的步骤数据规范化为统一格式
+
+    支持的输入格式：
+    - action + parameters
+    - action + action_args
+    - operation + parameters
+
+    Args:
+        data: 原始步骤数据列表
+
+    Returns:
+        规范化后的步骤列表，格式为 [{"action": str, "parameters": dict, "description": str?, "step_number": int?}, ...]
+    """
+    normalized = []
+    for idx, step in enumerate(data):
+        # 获取动作名称（支持 action 或 operation 字段）
+        action = step.get("action") or step.get("operation")
+        if not action:
+            continue
+
+        # 获取参数（支持 parameters 或 action_args 字段）
+        raw_params = step.get("parameters") or step.get("action_args") or {}
+        params = dict(raw_params)
+
+        # 规范化 source/target -> sources/targets
+        if "source" in raw_params and "sources" not in raw_params:
+            params["sources"] = raw_params["source"]
+        if "target" in raw_params and "targets" not in raw_params:
+            params["targets"] = raw_params["target"]
+
+        # 获取描述（支持 description 或 purpose 字段）
+        description = step.get("description") or step.get("purpose")
+
+        # 获取步骤编号（优先使用原始数据中的 step_number，否则使用索引+1）
+        step_number = step.get("step_number", idx + 1)
+
+        step_dict = {"action": action, "parameters": params, "step_number": step_number}
+        if description:
+            step_dict["description"] = description
+
+        normalized.append(step_dict)
+
+    return normalized
+
+
+def normalize_labware(data: List[Dict[str, Any]]) -> Dict[str, Dict[str, Any]]:
+    """
+    将不同格式的 labware 数据规范化为统一的字典格式
+
+    支持的输入格式：
+    - reagent_name + material_name + positions
+    - name + labware + slot
+
+    Args:
+        data: 原始 labware 数据列表
+
+    Returns:
+        规范化后的 labware 字典，格式为 {name: {"slot": int, "labware": str, "well": list, "type": str, "role": str, "name": str}, ...}
+    """
+    labware = {}
+    for item in data:
+        # 获取 key 名称（优先使用 reagent_name，其次是 material_name 或 name）
+        reagent_name = item.get("reagent_name")
+        key = reagent_name or item.get("material_name") or item.get("name")
+        if not key:
+            continue
+
+        key = str(key)
+
+        # 处理重复 key，自动添加后缀
+        idx = 1
+        original_key = key
+        while key in labware:
+            idx += 1
+            key = f"{original_key}_{idx}"
+
+        labware[key] = {
+            "slot": item.get("positions") or item.get("slot"),
+            "labware": item.get("material_name") or item.get("labware"),
+            "well": item.get("well", []),
+            "type": item.get("type", "reagent"),
+            "role": item.get("role", ""),
+            "name": key,
+        }
+
+    return labware
+
+
+def convert_from_json(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+    validate: bool = True,
+) -> WorkflowGraph:
+    """
+    从 JSON 数据或文件转换为 WorkflowGraph
+
+    支持的 JSON 格式：
+    1. {"workflow": [...], "reagent": {...}} - 直接格式
+    2. {"steps_info": [...], "labware_info": [...]} - 需要规范化的格式
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+        validate: 是否校验句柄配置，默认 True
+
+    Returns:
+        WorkflowGraph: 构建好的工作流图
+
+    Raises:
+        ValueError: 不支持的 JSON 格式 或 句柄校验失败
+        FileNotFoundError: 文件不存在
+        json.JSONDecodeError: JSON 解析失败
+    """
+    # 处理输入数据
+    if isinstance(data, (str, PathLike)):
+        path = Path(data)
+        if path.exists():
+            with path.open("r", encoding="utf-8") as fp:
+                json_data = json.load(fp)
+        elif isinstance(data, str):
+            # 尝试作为 JSON 字符串解析
+            json_data = json.loads(data)
+        else:
+            raise FileNotFoundError(f"文件不存在: {data}")
+    elif isinstance(data, dict):
+        json_data = data
+    else:
+        raise TypeError(f"不支持的数据类型: {type(data)}")
+
+    # 根据格式解析数据
+    if "workflow" in json_data and "reagent" in json_data:
+        # 格式1: workflow/reagent（已经是规范格式）
+        protocol_steps = json_data["workflow"]
+        labware_info = json_data["reagent"]
+    elif "steps_info" in json_data and "labware_info" in json_data:
+        # 格式2: steps_info/labware_info（需要规范化）
+        protocol_steps = normalize_steps(json_data["steps_info"])
+        labware_info = normalize_labware(json_data["labware_info"])
+    elif "steps" in json_data and "labware" in json_data:
+        # 格式3: steps/labware（另一种常见格式）
+        protocol_steps = normalize_steps(json_data["steps"])
+        if isinstance(json_data["labware"], list):
+            labware_info = normalize_labware(json_data["labware"])
+        else:
+            labware_info = json_data["labware"]
+    else:
+        raise ValueError(
+            "不支持的 JSON 格式。支持的格式：\n"
+            "1. {'workflow': [...], 'reagent': {...}}\n"
+            "2. {'steps_info': [...], 'labware_info': [...]}\n"
+            "3. {'steps': [...], 'labware': [...]}"
+        )
+
+    # 构建工作流图
+    graph = build_protocol_graph(
+        labware_info=labware_info,
+        protocol_steps=protocol_steps,
+        workstation_name=workstation_name,
+        action_resource_mapping=ACTION_RESOURCE_MAPPING,
+    )
+
+    # 校验句柄配置
+    if validate:
+        is_valid, errors = validate_workflow_handles(graph)
+        if not is_valid:
+            import warnings
+
+            for error in errors:
+                warnings.warn(f"句柄校验警告: {error}")
+
+    return graph
+
+
+def convert_json_to_node_link(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+) -> Dict[str, Any]:
+    """
+    将 JSON 数据转换为 node-link 格式的字典
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+
+    Returns:
+        Dict: node-link 格式的工作流数据
+    """
+    graph = convert_from_json(data, workstation_name)
+    return graph.to_node_link_dict()
+
+
+def convert_json_to_workflow_list(
+    data: Union[str, PathLike, Dict[str, Any]],
+    workstation_name: str = "PRCXi",
+) -> List[Dict[str, Any]]:
+    """
+    将 JSON 数据转换为工作流列表格式
+
+    Args:
+        data: JSON 文件路径、字典数据、或 JSON 字符串
+        workstation_name: 工作站名称，默认 "PRCXi"
+
+    Returns:
+        List: 工作流节点列表
+    """
+    graph = convert_from_json(data, workstation_name)
+    return graph.to_dict()
+
+
+# 为了向后兼容，保留下划线前缀的别名
+_normalize_steps = normalize_steps
+_normalize_labware = normalize_labware

unilabos_msgs/package.xml

@@ -2,7 +2,7 @@
 <?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
 <package format="3">
   <name>unilabos_msgs</name>
-  <version>0.10.16</version>
+  <version>0.10.17</version>
   <description>ROS2 Messages package for unilabos devices</description>
   <maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
   <maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>