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157 Commits
feat/add_c
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60
.conda/base/recipe.yaml
Normal file
60
.conda/base/recipe.yaml
Normal file
@@ -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"
|
||||
39
.conda/environment/recipe.yaml
Normal file
39
.conda/environment/recipe.yaml
Normal file
@@ -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"
|
||||
42
.conda/full/recipe.yaml
Normal file
42
.conda/full/recipe.yaml
Normal file
@@ -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"
|
||||
@@ -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"
|
||||
67
.github/workflows/ci-check.yml
vendored
Normal file
67
.github/workflows/ci-check.yml
vendored
Normal file
@@ -0,0 +1,67 @@
|
||||
name: CI Check
|
||||
|
||||
on:
|
||||
push:
|
||||
branches: [main, dev]
|
||||
pull_request:
|
||||
branches: [main, dev]
|
||||
|
||||
jobs:
|
||||
registry-check:
|
||||
runs-on: windows-latest
|
||||
|
||||
env:
|
||||
# Fix Unicode encoding issue on Windows runner (cp1252 -> utf-8)
|
||||
PYTHONIOENCODING: utf-8
|
||||
PYTHONUTF8: 1
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: cmd
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v6
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Setup Miniforge
|
||||
uses: conda-incubator/setup-miniconda@v3
|
||||
with:
|
||||
miniforge-version: latest
|
||||
use-mamba: true
|
||||
channels: robostack-staging,conda-forge,uni-lab
|
||||
channel-priority: flexible
|
||||
activate-environment: check-env
|
||||
auto-update-conda: false
|
||||
show-channel-urls: true
|
||||
|
||||
- name: Install ROS dependencies, uv and unilabos-msgs
|
||||
run: |
|
||||
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: |
|
||||
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: |
|
||||
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"
|
||||
echo "变化的文件:"
|
||||
git diff --name-only
|
||||
exit 1
|
||||
fi
|
||||
echo "检查通过:无文件变化"
|
||||
39
.github/workflows/conda-pack-build.yml
vendored
39
.github/workflows/conda-pack-build.yml
vendored
@@ -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...
|
||||
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..."
|
||||
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/
|
||||
|
||||
37
.github/workflows/deploy-docs.yml
vendored
37
.github/workflows/deploy-docs.yml
vendored
@@ -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 }}
|
||||
|
||||
46
.github/workflows/multi-platform-build.yml
vendored
46
.github/workflows/multi-platform-build.yml
vendored
@@ -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
|
||||
|
||||
113
.github/workflows/unilabos-conda-build.yml
vendored
113
.github/workflows/unilabos-conda-build.yml
vendored
@@ -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
|
||||
|
||||
@@ -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 *
|
||||
|
||||
38
README.md
38
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
|
||||
|
||||
38
README_zh.md
38
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
|
||||
|
||||
@@ -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
|
||||
|
||||

|
||||
|
||||

|
||||
|
||||
@@ -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:
|
||||
|
||||
|
||||
BIN
docs/user_guide/image/add_protocol.png
Normal file
BIN
docs/user_guide/image/add_protocol.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 81 KiB |
@@ -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)
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: ros-humble-unilabos-msgs
|
||||
version: 0.10.15
|
||||
version: 0.10.17
|
||||
source:
|
||||
path: ../../unilabos_msgs
|
||||
target_directory: src
|
||||
@@ -25,7 +25,7 @@ requirements:
|
||||
build:
|
||||
- ${{ compiler('cxx') }}
|
||||
- ${{ compiler('c') }}
|
||||
- python ==3.11.11
|
||||
- python ==3.11.14
|
||||
- numpy
|
||||
- if: build_platform != target_platform
|
||||
then:
|
||||
@@ -63,14 +63,14 @@ requirements:
|
||||
- robostack-staging::ros-humble-rosidl-default-generators
|
||||
- robostack-staging::ros-humble-std-msgs
|
||||
- robostack-staging::ros-humble-geometry-msgs
|
||||
- robostack-staging::ros2-distro-mutex=0.6
|
||||
- robostack-staging::ros2-distro-mutex=0.7
|
||||
run:
|
||||
- robostack-staging::ros-humble-action-msgs
|
||||
- robostack-staging::ros-humble-ros-workspace
|
||||
- robostack-staging::ros-humble-rosidl-default-runtime
|
||||
- robostack-staging::ros-humble-std-msgs
|
||||
- robostack-staging::ros-humble-geometry-msgs
|
||||
- robostack-staging::ros2-distro-mutex=0.6
|
||||
- robostack-staging::ros2-distro-mutex=0.7
|
||||
- if: osx and x86_64
|
||||
then:
|
||||
- __osx >=${{ MACOSX_DEPLOYMENT_TARGET|default('10.14') }}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: unilabos
|
||||
version: "0.10.15"
|
||||
version: "0.10.17"
|
||||
|
||||
source:
|
||||
path: ../..
|
||||
|
||||
@@ -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:
|
||||
|
||||
214
scripts/dev_install.py
Normal file
214
scripts/dev_install.py
Normal file
@@ -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()
|
||||
2
setup.py
2
setup.py
@@ -4,7 +4,7 @@ package_name = 'unilabos'
|
||||
|
||||
setup(
|
||||
name=package_name,
|
||||
version='0.10.15',
|
||||
version='0.10.17',
|
||||
packages=find_packages(),
|
||||
include_package_data=True,
|
||||
install_requires=['setuptools'],
|
||||
|
||||
15
tests/devices/liquid_handling/README.md
Normal file
15
tests/devices/liquid_handling/README.md
Normal file
@@ -0,0 +1,15 @@
|
||||
# Liquid handling 集成测试
|
||||
|
||||
`test_transfer_liquid.py` 现在会调用 PRCXI 的 RViz 仿真 backend,运行前请确保:
|
||||
|
||||
1. 已安装包含 `pylabrobot`、`rclpy` 的运行环境;
|
||||
2. 启动 ROS 依赖(`rviz` 可选,但是 `rviz_backend` 会创建 ROS 节点);
|
||||
3. 在 shell 中设置 `UNILAB_SIM_TEST=1`,否则 pytest 会自动跳过这些慢速用例:
|
||||
|
||||
```bash
|
||||
export UNILAB_SIM_TEST=1
|
||||
pytest tests/devices/liquid_handling/test_transfer_liquid.py -m slow
|
||||
```
|
||||
|
||||
如果只需验证逻辑层(不依赖仿真),可以直接运行 `tests/devices/liquid_handling/unit_test.py`,该文件使用 Fake backend,适合作为 CI 的快速测试。***
|
||||
|
||||
547
tests/devices/liquid_handling/unit_test.py
Normal file
547
tests/devices/liquid_handling/unit_test.py
Normal file
@@ -0,0 +1,547 @@
|
||||
import asyncio
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Iterable, List, Optional, Sequence, Tuple
|
||||
|
||||
import pytest
|
||||
|
||||
from unilabos.devices.liquid_handling.liquid_handler_abstract import LiquidHandlerAbstract
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class DummyContainer:
|
||||
name: str
|
||||
|
||||
def __repr__(self) -> str: # pragma: no cover
|
||||
return f"DummyContainer({self.name})"
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class DummyTipSpot:
|
||||
name: str
|
||||
|
||||
def __repr__(self) -> str: # pragma: no cover
|
||||
return f"DummyTipSpot({self.name})"
|
||||
|
||||
|
||||
def make_tip_iter(n: int = 256) -> Iterable[List[DummyTipSpot]]:
|
||||
"""Yield lists so code can safely call `tip.extend(next(self.current_tip))`."""
|
||||
for i in range(n):
|
||||
yield [DummyTipSpot(f"tip_{i}")]
|
||||
|
||||
|
||||
class FakeLiquidHandler(LiquidHandlerAbstract):
|
||||
"""不初始化真实 backend/deck;仅用来记录 transfer_liquid 内部调用序列。"""
|
||||
|
||||
def __init__(self, channel_num: int = 8):
|
||||
# 不调用 super().__init__,避免真实硬件/后端依赖
|
||||
self.channel_num = channel_num
|
||||
self.support_touch_tip = True
|
||||
self.current_tip = iter(make_tip_iter())
|
||||
self.calls: List[Tuple[str, Any]] = []
|
||||
|
||||
async def pick_up_tips(self, tip_spots, use_channels=None, offsets=None, **backend_kwargs):
|
||||
self.calls.append(("pick_up_tips", {"tips": list(tip_spots), "use_channels": use_channels}))
|
||||
|
||||
async def aspirate(
|
||||
self,
|
||||
resources: Sequence[Any],
|
||||
vols: List[float],
|
||||
use_channels: Optional[List[int]] = None,
|
||||
flow_rates: Optional[List[Optional[float]]] = None,
|
||||
offsets: Any = None,
|
||||
liquid_height: Any = None,
|
||||
blow_out_air_volume: Any = None,
|
||||
spread: str = "wide",
|
||||
**backend_kwargs,
|
||||
):
|
||||
self.calls.append(
|
||||
(
|
||||
"aspirate",
|
||||
{
|
||||
"resources": list(resources),
|
||||
"vols": list(vols),
|
||||
"use_channels": list(use_channels) if use_channels is not None else None,
|
||||
"flow_rates": list(flow_rates) if flow_rates is not None else None,
|
||||
"offsets": list(offsets) if offsets is not None else None,
|
||||
"liquid_height": list(liquid_height) if liquid_height is not None else None,
|
||||
"blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
async def dispense(
|
||||
self,
|
||||
resources: Sequence[Any],
|
||||
vols: List[float],
|
||||
use_channels: Optional[List[int]] = None,
|
||||
flow_rates: Optional[List[Optional[float]]] = None,
|
||||
offsets: Any = None,
|
||||
liquid_height: Any = None,
|
||||
blow_out_air_volume: Any = None,
|
||||
spread: str = "wide",
|
||||
**backend_kwargs,
|
||||
):
|
||||
self.calls.append(
|
||||
(
|
||||
"dispense",
|
||||
{
|
||||
"resources": list(resources),
|
||||
"vols": list(vols),
|
||||
"use_channels": list(use_channels) if use_channels is not None else None,
|
||||
"flow_rates": list(flow_rates) if flow_rates is not None else None,
|
||||
"offsets": list(offsets) if offsets is not None else None,
|
||||
"liquid_height": list(liquid_height) if liquid_height is not None else None,
|
||||
"blow_out_air_volume": list(blow_out_air_volume) if blow_out_air_volume is not None else None,
|
||||
},
|
||||
)
|
||||
)
|
||||
|
||||
async def discard_tips(self, use_channels=None, *args, **kwargs):
|
||||
# 有的分支是 discard_tips(use_channels=[0]),有的分支是 discard_tips([0..7])(位置参数)
|
||||
self.calls.append(("discard_tips", {"use_channels": list(use_channels) if use_channels is not None else None}))
|
||||
|
||||
async def custom_delay(self, seconds=0, msg=None):
|
||||
self.calls.append(("custom_delay", {"seconds": seconds, "msg": msg}))
|
||||
|
||||
async def touch_tip(self, targets):
|
||||
# 原实现会访问 targets.get_size_x() 等;测试里只记录调用
|
||||
self.calls.append(("touch_tip", {"targets": targets}))
|
||||
|
||||
def run(coro):
|
||||
return asyncio.run(coro)
|
||||
|
||||
|
||||
def test_one_to_one_single_channel_basic_calls():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(64))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(3)]
|
||||
targets = [DummyContainer(f"T{i}") for i in range(3)]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=[1, 2, 3],
|
||||
dis_vols=[4, 5, 6],
|
||||
mix_times=None, # 应该仍能执行(不 mix)
|
||||
)
|
||||
)
|
||||
|
||||
assert [c[0] for c in lh.calls].count("pick_up_tips") == 3
|
||||
assert [c[0] for c in lh.calls].count("aspirate") == 3
|
||||
assert [c[0] for c in lh.calls].count("dispense") == 3
|
||||
assert [c[0] for c in lh.calls].count("discard_tips") == 3
|
||||
|
||||
# 每次 aspirate/dispense 都是单孔列表
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
assert aspirates[0]["resources"] == [sources[0]]
|
||||
assert aspirates[0]["vols"] == [1.0]
|
||||
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert dispenses[2]["resources"] == [targets[2]]
|
||||
assert dispenses[2]["vols"] == [6.0]
|
||||
|
||||
|
||||
def test_one_to_one_single_channel_before_stage_mixes_prior_to_aspirate():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(16))
|
||||
|
||||
source = DummyContainer("S0")
|
||||
target = DummyContainer("T0")
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=[source],
|
||||
targets=[target],
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=[5],
|
||||
dis_vols=[5],
|
||||
mix_stage="before",
|
||||
mix_times=1,
|
||||
mix_vol=3,
|
||||
)
|
||||
)
|
||||
|
||||
aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
|
||||
assert len(aspirate_calls) >= 2
|
||||
mix_idx, mix_payload = aspirate_calls[0]
|
||||
assert mix_payload["resources"] == [target]
|
||||
assert mix_payload["vols"] == [3]
|
||||
transfer_idx, transfer_payload = aspirate_calls[1]
|
||||
assert transfer_payload["resources"] == [source]
|
||||
assert mix_idx < transfer_idx
|
||||
|
||||
|
||||
def test_one_to_one_eight_channel_groups_by_8():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(256))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(16)]
|
||||
targets = [DummyContainer(f"T{i}") for i in range(16)]
|
||||
asp_vols = list(range(1, 17))
|
||||
dis_vols = list(range(101, 117))
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=dis_vols,
|
||||
mix_times=0, # 触发逻辑但不 mix
|
||||
)
|
||||
)
|
||||
|
||||
# 16 个任务 -> 2 组,每组 8 通道一起做
|
||||
assert [c[0] for c in lh.calls].count("pick_up_tips") == 2
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert len(aspirates) == 2
|
||||
assert len(dispenses) == 2
|
||||
|
||||
assert aspirates[0]["resources"] == sources[0:8]
|
||||
assert aspirates[0]["vols"] == [float(v) for v in asp_vols[0:8]]
|
||||
assert dispenses[1]["resources"] == targets[8:16]
|
||||
assert dispenses[1]["vols"] == [float(v) for v in dis_vols[8:16]]
|
||||
|
||||
|
||||
def test_one_to_one_eight_channel_requires_multiple_of_8_targets():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(64))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(9)]
|
||||
targets = [DummyContainer(f"T{i}") for i in range(9)]
|
||||
|
||||
with pytest.raises(ValueError, match="multiple of 8"):
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=[1] * 9,
|
||||
dis_vols=[1] * 9,
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def test_one_to_one_eight_channel_parameter_lists_are_chunked_per_8():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(512))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(16)]
|
||||
targets = [DummyContainer(f"T{i}") for i in range(16)]
|
||||
asp_vols = [i + 1 for i in range(16)]
|
||||
dis_vols = [200 + i for i in range(16)]
|
||||
asp_flow_rates = [0.1 * (i + 1) for i in range(16)]
|
||||
dis_flow_rates = [0.2 * (i + 1) for i in range(16)]
|
||||
offsets = [f"offset_{i}" for i in range(16)]
|
||||
liquid_heights = [i * 0.5 for i in range(16)]
|
||||
blow_out_air_volume = [i + 0.05 for i in range(16)]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=dis_vols,
|
||||
asp_flow_rates=asp_flow_rates,
|
||||
dis_flow_rates=dis_flow_rates,
|
||||
offsets=offsets,
|
||||
liquid_height=liquid_heights,
|
||||
blow_out_air_volume=blow_out_air_volume,
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert len(aspirates) == len(dispenses) == 2
|
||||
|
||||
for batch_idx in range(2):
|
||||
start = batch_idx * 8
|
||||
end = start + 8
|
||||
asp_call = aspirates[batch_idx]
|
||||
dis_call = dispenses[batch_idx]
|
||||
assert asp_call["resources"] == sources[start:end]
|
||||
assert asp_call["flow_rates"] == asp_flow_rates[start:end]
|
||||
assert asp_call["offsets"] == offsets[start:end]
|
||||
assert asp_call["liquid_height"] == liquid_heights[start:end]
|
||||
assert asp_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
|
||||
assert dis_call["flow_rates"] == dis_flow_rates[start:end]
|
||||
assert dis_call["offsets"] == offsets[start:end]
|
||||
assert dis_call["liquid_height"] == liquid_heights[start:end]
|
||||
assert dis_call["blow_out_air_volume"] == blow_out_air_volume[start:end]
|
||||
|
||||
|
||||
def test_one_to_one_eight_channel_handles_32_tasks_four_batches():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(1024))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(32)]
|
||||
targets = [DummyContainer(f"T{i}") for i in range(32)]
|
||||
asp_vols = [i + 1 for i in range(32)]
|
||||
dis_vols = [300 + i for i in range(32)]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=dis_vols,
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
pick_calls = [name for name, _ in lh.calls if name == "pick_up_tips"]
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert len(pick_calls) == 4
|
||||
assert len(aspirates) == len(dispenses) == 4
|
||||
assert aspirates[0]["resources"] == sources[0:8]
|
||||
assert aspirates[-1]["resources"] == sources[24:32]
|
||||
assert dispenses[0]["resources"] == targets[0:8]
|
||||
assert dispenses[-1]["resources"] == targets[24:32]
|
||||
|
||||
|
||||
def test_one_to_many_single_channel_aspirates_total_when_asp_vol_too_small():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(64))
|
||||
|
||||
source = DummyContainer("SRC")
|
||||
targets = [DummyContainer(f"T{i}") for i in range(3)]
|
||||
dis_vols = [10, 20, 30] # sum=60
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=[source],
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=10, # 小于 sum(dis_vols) -> 应吸 60
|
||||
dis_vols=dis_vols,
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
assert len(aspirates) == 1
|
||||
assert aspirates[0]["resources"] == [source]
|
||||
assert aspirates[0]["vols"] == [60.0]
|
||||
assert aspirates[0]["use_channels"] == [0]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert [d["vols"][0] for d in dispenses] == [10.0, 20.0, 30.0]
|
||||
|
||||
|
||||
def test_one_to_many_eight_channel_basic():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(128))
|
||||
|
||||
source = DummyContainer("SRC")
|
||||
targets = [DummyContainer(f"T{i}") for i in range(8)]
|
||||
dis_vols = [i + 1 for i in range(8)]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=[source],
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=999, # one-to-many 8ch 会按 dis_vols 吸(每通道各自)
|
||||
dis_vols=dis_vols,
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
assert aspirates[0]["resources"] == [source] * 8
|
||||
assert aspirates[0]["vols"] == [float(v) for v in dis_vols]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert dispenses[0]["resources"] == targets
|
||||
assert dispenses[0]["vols"] == [float(v) for v in dis_vols]
|
||||
|
||||
|
||||
def test_many_to_one_single_channel_standard_dispense_equals_asp_by_default():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(128))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(3)]
|
||||
target = DummyContainer("T")
|
||||
asp_vols = [5, 6, 7]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=[target],
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=1, # many-to-one 允许标量;非比例模式下实际每次分液=对应 asp_vol
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert [d["vols"][0] for d in dispenses] == [float(v) for v in asp_vols]
|
||||
assert all(d["resources"] == [target] for d in dispenses)
|
||||
|
||||
|
||||
def test_many_to_one_single_channel_before_stage_mixes_target_once():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(128))
|
||||
|
||||
sources = [DummyContainer("S0"), DummyContainer("S1")]
|
||||
target = DummyContainer("T")
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=[target],
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=[5, 6],
|
||||
dis_vols=1,
|
||||
mix_stage="before",
|
||||
mix_times=2,
|
||||
mix_vol=4,
|
||||
)
|
||||
)
|
||||
|
||||
aspirate_calls = [(idx, payload) for idx, (name, payload) in enumerate(lh.calls) if name == "aspirate"]
|
||||
assert len(aspirate_calls) >= 1
|
||||
mix_idx, mix_payload = aspirate_calls[0]
|
||||
assert mix_payload["resources"] == [target]
|
||||
assert mix_payload["vols"] == [4]
|
||||
# 第一個 mix 之後會真正開始吸 source
|
||||
assert any(call["resources"] == [sources[0]] for _, call in aspirate_calls[1:])
|
||||
|
||||
|
||||
def test_many_to_one_single_channel_proportional_mixing_uses_dis_vols_per_source():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
lh.current_tip = iter(make_tip_iter(128))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(3)]
|
||||
target = DummyContainer("T")
|
||||
asp_vols = [5, 6, 7]
|
||||
dis_vols = [1, 2, 3]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=[target],
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=dis_vols, # 比例模式
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert [d["vols"][0] for d in dispenses] == [float(v) for v in dis_vols]
|
||||
|
||||
|
||||
def test_many_to_one_eight_channel_basic():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(256))
|
||||
|
||||
sources = [DummyContainer(f"S{i}") for i in range(8)]
|
||||
target = DummyContainer("T")
|
||||
asp_vols = [10 + i for i in range(8)]
|
||||
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=[target],
|
||||
tip_racks=[],
|
||||
use_channels=list(range(8)),
|
||||
asp_vols=asp_vols,
|
||||
dis_vols=999, # 非比例模式下每通道分液=对应 asp_vol
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert aspirates[0]["resources"] == sources
|
||||
assert aspirates[0]["vols"] == [float(v) for v in asp_vols]
|
||||
assert dispenses[0]["resources"] == [target] * 8
|
||||
assert dispenses[0]["vols"] == [float(v) for v in asp_vols]
|
||||
|
||||
|
||||
def test_transfer_liquid_mode_detection_unsupported_shape_raises():
|
||||
lh = FakeLiquidHandler(channel_num=8)
|
||||
lh.current_tip = iter(make_tip_iter(64))
|
||||
|
||||
sources = [DummyContainer("S0"), DummyContainer("S1")]
|
||||
targets = [DummyContainer("T0"), DummyContainer("T1"), DummyContainer("T2")]
|
||||
|
||||
with pytest.raises(ValueError, match="Unsupported transfer mode"):
|
||||
run(
|
||||
lh.transfer_liquid(
|
||||
sources=sources,
|
||||
targets=targets,
|
||||
tip_racks=[],
|
||||
use_channels=[0],
|
||||
asp_vols=[1, 1],
|
||||
dis_vols=[1, 1, 1],
|
||||
mix_times=0,
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def test_mix_single_target_produces_matching_cycles():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
target = DummyContainer("T_mix")
|
||||
|
||||
run(lh.mix(targets=[target], mix_time=2, mix_vol=5))
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
dispenses = [payload for name, payload in lh.calls if name == "dispense"]
|
||||
assert len(aspirates) == len(dispenses) == 2
|
||||
assert all(call["resources"] == [target] for call in aspirates)
|
||||
assert all(call["vols"] == [5] for call in aspirates)
|
||||
assert all(call["resources"] == [target] for call in dispenses)
|
||||
assert all(call["vols"] == [5] for call in dispenses)
|
||||
|
||||
|
||||
def test_mix_multiple_targets_supports_per_target_offsets():
|
||||
lh = FakeLiquidHandler(channel_num=1)
|
||||
targets = [DummyContainer("T0"), DummyContainer("T1")]
|
||||
offsets = ["left", "right"]
|
||||
heights = [0.1, 0.2]
|
||||
rates = [0.5, 1.0]
|
||||
|
||||
run(
|
||||
lh.mix(
|
||||
targets=targets,
|
||||
mix_time=1,
|
||||
mix_vol=3,
|
||||
offsets=offsets,
|
||||
height_to_bottom=heights,
|
||||
mix_rate=rates,
|
||||
)
|
||||
)
|
||||
|
||||
aspirates = [payload for name, payload in lh.calls if name == "aspirate"]
|
||||
assert len(aspirates) == 2
|
||||
assert aspirates[0]["resources"] == [targets[0]]
|
||||
assert aspirates[0]["offsets"] == [offsets[0]]
|
||||
assert aspirates[0]["liquid_height"] == [heights[0]]
|
||||
assert aspirates[0]["flow_rates"] == [rates[0]]
|
||||
assert aspirates[1]["resources"] == [targets[1]]
|
||||
assert aspirates[1]["offsets"] == [offsets[1]]
|
||||
assert aspirates[1]["liquid_height"] == [heights[1]]
|
||||
assert aspirates[1]["flow_rates"] == [rates[1]]
|
||||
|
||||
|
||||
213
tests/workflow/test.json
Normal file
213
tests/workflow/test.json
Normal file
@@ -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"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.10.15"
|
||||
__version__ = "0.10.17"
|
||||
|
||||
@@ -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
|
||||
@@ -161,6 +160,12 @@ def parse_args():
|
||||
default=False,
|
||||
help="Complete registry information",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--check_mode",
|
||||
action="store_true",
|
||||
default=False,
|
||||
help="Run in check mode for CI: validates registry imports and ensures no file changes",
|
||||
)
|
||||
parser.add_argument(
|
||||
"--no_update_feedback",
|
||||
action="store_true",
|
||||
@@ -211,7 +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):
|
||||
@@ -222,7 +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"))
|
||||
@@ -241,7 +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")
|
||||
@@ -255,8 +277,10 @@ 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")
|
||||
if not check_mode:
|
||||
load_config_from_file(config_path)
|
||||
|
||||
# 根据配置重新设置日志级别
|
||||
@@ -313,6 +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"]
|
||||
BasicConfig.check_mode = check_mode
|
||||
|
||||
from unilabos.resources.graphio import (
|
||||
read_node_link_json,
|
||||
@@ -331,10 +356,14 @@ def main():
|
||||
# 显示启动横幅
|
||||
print_unilab_banner(args_dict)
|
||||
|
||||
# 注册表
|
||||
lab_registry = build_registry(
|
||||
args_dict["registry_path"], args_dict.get("complete_registry", False), BasicConfig.upload_registry
|
||||
)
|
||||
# 注册表 - check_mode 时强制启用 complete_registry
|
||||
complete_registry = args_dict.get("complete_registry", False) or check_mode
|
||||
lab_registry = build_registry(args_dict["registry_path"], complete_registry, BasicConfig.upload_registry)
|
||||
|
||||
# Check mode: complete_registry 完成后直接退出,git diff 检测由 CI workflow 执行
|
||||
if check_mode:
|
||||
print_status("Check mode: complete_registry 完成,退出", "info")
|
||||
os._exit(0)
|
||||
|
||||
if BasicConfig.upload_registry:
|
||||
# 设备注册到服务端 - 需要 ak 和 sk
|
||||
|
||||
@@ -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
|
||||
|
||||
|
||||
@@ -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,
|
||||
|
||||
0
unilabos/devices/Qone_nmr/__init__.py
Normal file
0
unilabos/devices/Qone_nmr/__init__.py
Normal file
@@ -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,
|
||||
@@ -207,16 +230,22 @@ class LiquidHandlerMiddleware(LiquidHandler):
|
||||
|
||||
res_samples = []
|
||||
res_volumes = []
|
||||
for resource, volume, channel in zip(resources, vols, use_channels):
|
||||
# 处理 use_channels 为 None 的情况(通常用于单通道操作)
|
||||
if use_channels is None:
|
||||
# 对于单通道操作,推断通道为 [0]
|
||||
channels_to_use = [0] * len(resources)
|
||||
else:
|
||||
channels_to_use = use_channels
|
||||
|
||||
for resource, volume, channel in zip(resources, vols, channels_to_use):
|
||||
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 +607,18 @@ 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 +642,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
module_name = ".".join(components[:-1])
|
||||
try:
|
||||
import importlib
|
||||
|
||||
mod = importlib.import_module(module_name)
|
||||
except ImportError:
|
||||
mod = None
|
||||
@@ -614,6 +652,7 @@ 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 +670,67 @@ 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 +766,7 @@ 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 +774,8 @@ 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 +819,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
"""Create a new protocol with the given metadata."""
|
||||
pass
|
||||
|
||||
|
||||
async def remove_liquid(
|
||||
self,
|
||||
vols: List[float],
|
||||
@@ -788,10 +877,11 @@ 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 +890,28 @@ 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,
|
||||
@@ -936,18 +1036,28 @@ 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 = 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
|
||||
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,
|
||||
@@ -989,7 +1099,6 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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
|
||||
@@ -1021,7 +1130,7 @@ 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:
|
||||
@@ -1082,6 +1191,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
if mix_times is not None:
|
||||
mix_times = int(mix_times)
|
||||
|
||||
# 设置tip racks
|
||||
self.set_tiprack(tip_racks)
|
||||
|
||||
# 识别传输模式(mix_times 为 None 也应该能正常移液,只是不做 mix)
|
||||
num_sources = len(sources)
|
||||
num_targets = len(targets)
|
||||
@@ -1089,29 +1201,71 @@ 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 +1273,11 @@ 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],
|
||||
@@ -1144,8 +1303,14 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
"""一对一传输模式:N sources -> N targets"""
|
||||
# 验证参数长度
|
||||
if len(asp_vols) != len(targets):
|
||||
if len(asp_vols) == 1:
|
||||
asp_vols = [asp_vols[0]] * len(targets)
|
||||
else:
|
||||
raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `targets` {len(targets)}.")
|
||||
if len(dis_vols) != len(targets):
|
||||
if len(dis_vols) == 1:
|
||||
dis_vols = [dis_vols[0]] * len(targets)
|
||||
else:
|
||||
raise ValueError(f"Length of `dis_vols` {len(dis_vols)} must match `targets` {len(targets)}.")
|
||||
if len(sources) != len(targets):
|
||||
raise ValueError(f"Length of `sources` {len(sources)} must match `targets` {len(targets)}.")
|
||||
@@ -1165,6 +1330,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
await self.aspirate(
|
||||
@@ -1174,7 +1340,9 @@ 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 +1353,9 @@ 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,
|
||||
)
|
||||
@@ -1199,6 +1369,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
@@ -1214,18 +1385,18 @@ 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(
|
||||
@@ -1235,6 +1406,7 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
await self.aspirate(
|
||||
@@ -1271,11 +1443,12 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
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,
|
||||
@@ -1324,9 +1497,10 @@ 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
# 从源容器吸液(总体积)
|
||||
@@ -1337,7 +1511,9 @@ 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 +1528,9 @@ 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,
|
||||
)
|
||||
@@ -1363,9 +1541,10 @@ 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
@@ -1384,23 +1563,32 @@ 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
# 从源容器吸液(8个通道都从同一个源,但每个通道的吸液体积不同)
|
||||
@@ -1419,10 +1607,10 @@ 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,
|
||||
@@ -1446,12 +1634,13 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
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,
|
||||
@@ -1478,6 +1667,9 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
"""多对一传输模式:N sources -> 1 target(汇总/混合)"""
|
||||
# 验证和扩展体积参数
|
||||
if len(asp_vols) != len(sources):
|
||||
if len(asp_vols) == 1:
|
||||
asp_vols = [asp_vols[0]] * len(sources)
|
||||
else:
|
||||
raise ValueError(f"Length of `asp_vols` {len(asp_vols)} must match `sources` {len(sources)}.")
|
||||
|
||||
# 支持两种模式:
|
||||
@@ -1497,10 +1689,19 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
f"(matching `asp_vols`). Got length {len(dis_vols)}."
|
||||
)
|
||||
|
||||
need_mix_after = mix_stage in ["after", "both"] and mix_times is not None and mix_times > 0
|
||||
defer_final_discard = need_mix_after or touch_tip
|
||||
|
||||
if len(use_channels) == 1:
|
||||
# 单通道模式:多次吸液,一次分液
|
||||
# 先混合前(如果需要)
|
||||
|
||||
# 如果需要 before mix,先 pick up tip 并执行 mix
|
||||
if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
@@ -1508,8 +1709,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
offsets=offsets[0:1] 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
|
||||
# 从每个源容器吸液并分液到目标容器
|
||||
for idx, source in enumerate(sources):
|
||||
tip = []
|
||||
@@ -1524,7 +1728,9 @@ 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 +1744,18 @@ 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],
|
||||
@@ -1561,10 +1771,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
if not (defer_final_discard and idx == len(sources) - 1):
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
|
||||
# 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:
|
||||
if need_mix_after:
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
@@ -1572,11 +1783,15 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
offsets=offsets[0:1] 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
|
||||
if defer_final_discard:
|
||||
await self.discard_tips(use_channels=use_channels)
|
||||
|
||||
elif len(use_channels) == 8:
|
||||
# 8通道模式:需要确保源数量是8的倍数
|
||||
if len(sources) % 8 != 0:
|
||||
@@ -1584,6 +1799,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
|
||||
# 每次处理8个源
|
||||
if mix_stage in ["before", "both"] and mix_times is not None and mix_times > 0:
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
tip.extend(next(self.current_tip))
|
||||
await self.pick_up_tips(tip)
|
||||
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
@@ -1591,20 +1811,23 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
offsets=offsets[0:1] 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
for i in range(0, len(sources), 8):
|
||||
tip = []
|
||||
for _ in range(len(use_channels)):
|
||||
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 +1847,22 @@ 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
|
||||
@@ -1651,10 +1878,11 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
if delays is not None and len(delays) > 1:
|
||||
await self.custom_delay(seconds=delays[1])
|
||||
|
||||
if not (defer_final_discard and i + 8 >= len(sources)):
|
||||
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:
|
||||
if need_mix_after:
|
||||
await self.mix(
|
||||
targets=[target],
|
||||
mix_time=mix_times,
|
||||
@@ -1662,16 +1890,19 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
offsets=offsets[0:1] 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,
|
||||
use_channels=use_channels,
|
||||
)
|
||||
|
||||
if touch_tip:
|
||||
await self.touch_tip([target])
|
||||
|
||||
if defer_final_discard:
|
||||
await self.discard_tips([0,1,2,3,4,5,6,7])
|
||||
|
||||
# except Exception as e:
|
||||
# traceback.print_exc()
|
||||
# raise RuntimeError(f"Liquid addition failed: {e}") from e
|
||||
|
||||
|
||||
# ---------------------------------------------------------------
|
||||
# Helper utilities
|
||||
# ---------------------------------------------------------------
|
||||
@@ -1686,13 +1917,17 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
print(f"Waiting time: {msg}")
|
||||
print(f"Current time: {time.strftime('%H:%M:%S')}")
|
||||
print(f"Time to finish: {time.strftime('%H:%M:%S', time.localtime(time.time() + seconds))}")
|
||||
# Use ROS node sleep if available, otherwise use asyncio.sleep
|
||||
if hasattr(self, '_ros_node') and self._ros_node is not None:
|
||||
await self._ros_node.sleep(seconds)
|
||||
else:
|
||||
import asyncio
|
||||
await asyncio.sleep(seconds)
|
||||
if msg:
|
||||
print(f"Done: {msg}")
|
||||
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:
|
||||
@@ -1725,26 +1960,58 @@ class LiquidHandlerAbstract(LiquidHandlerMiddleware):
|
||||
height_to_bottom: Optional[float] = None,
|
||||
offsets: Optional[Coordinate] = None,
|
||||
mix_rate: Optional[float] = None,
|
||||
use_channels: Optional[List[int]] = None,
|
||||
none_keys: List[str] = [],
|
||||
):
|
||||
if mix_time is None: # No mixing required
|
||||
if mix_time is None or mix_time <= 0: # No mixing required
|
||||
return
|
||||
"""Mix the liquid in the target wells."""
|
||||
if mix_vol is None:
|
||||
raise ValueError("`mix_vol` must be provided when `mix_time` is set.")
|
||||
|
||||
targets_list: List[Container] = list(targets)
|
||||
if len(targets_list) == 0:
|
||||
return
|
||||
|
||||
def _expand(value, count: int):
|
||||
if value is None:
|
||||
return [None] * count
|
||||
if isinstance(value, (list, tuple)):
|
||||
if len(value) != count:
|
||||
raise ValueError("Length of per-target parameters must match targets.")
|
||||
return list(value)
|
||||
return [value] * count
|
||||
|
||||
offsets_list = _expand(offsets, len(targets_list))
|
||||
heights_list = _expand(height_to_bottom, len(targets_list))
|
||||
rates_list = _expand(mix_rate, len(targets_list))
|
||||
|
||||
for _ in range(mix_time):
|
||||
for idx, target in enumerate(targets_list):
|
||||
offset_arg = (
|
||||
[offsets_list[idx]] if offsets_list[idx] is not None else None
|
||||
)
|
||||
height_arg = (
|
||||
[heights_list[idx]] if heights_list[idx] is not None else None
|
||||
)
|
||||
rate_arg = [rates_list[idx]] if rates_list[idx] is not None else None
|
||||
|
||||
await self.aspirate(
|
||||
resources=[targets],
|
||||
resources=[target],
|
||||
vols=[mix_vol],
|
||||
flow_rates=[mix_rate] if mix_rate else None,
|
||||
offsets=[offsets] if offsets else None,
|
||||
liquid_height=[height_to_bottom] if height_to_bottom else None,
|
||||
use_channels=use_channels,
|
||||
flow_rates=rate_arg,
|
||||
offsets=offset_arg,
|
||||
liquid_height=height_arg,
|
||||
)
|
||||
await self.custom_delay(seconds=1)
|
||||
await self.dispense(
|
||||
resources=[targets],
|
||||
resources=[target],
|
||||
vols=[mix_vol],
|
||||
flow_rates=[mix_rate] if mix_rate else None,
|
||||
offsets=[offsets] if offsets else None,
|
||||
liquid_height=[height_to_bottom] if height_to_bottom else None,
|
||||
use_channels=use_channels,
|
||||
flow_rates=rate_arg,
|
||||
offsets=offset_arg,
|
||||
liquid_height=height_arg,
|
||||
)
|
||||
|
||||
def iter_tips(self, tip_racks: Sequence[TipRack]) -> Iterator[Resource]:
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
0
unilabos/devices/xrd_d7mate/__init__.py
Normal file
0
unilabos/devices/xrd_d7mate/__init__.py
Normal file
0
unilabos/devices/zhida_hplc/__init__.py
Normal file
0
unilabos/devices/zhida_hplc/__init__.py
Normal file
@@ -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 +4130,43 @@ 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_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets
|
||||
label: targets
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
- data_key: tip_racks
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: tip_racks
|
||||
label: tip_racks
|
||||
output:
|
||||
- data_key: sources
|
||||
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: tip_rack
|
||||
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
|
||||
data_source: executor
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets_out
|
||||
label: targets
|
||||
label: 移液后目标孔
|
||||
placeholder_keys:
|
||||
sources: unilabos_resources
|
||||
targets: unilabos_resources
|
||||
@@ -4764,13 +4812,13 @@ liquid_handler.biomek:
|
||||
targets: ''
|
||||
handles:
|
||||
input:
|
||||
- data_key: liquid
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: sources
|
||||
label: sources
|
||||
output:
|
||||
- data_key: liquid
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets
|
||||
@@ -4923,29 +4971,29 @@ liquid_handler.biomek:
|
||||
volume: 0.0
|
||||
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_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets
|
||||
label: targets
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
- data_key: tip_racks
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: tip_rack
|
||||
label: tip_rack
|
||||
handler_key: tip_racks
|
||||
label: tip_racks
|
||||
output:
|
||||
- data_key: liquid
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: sources_out
|
||||
label: sources
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets_out
|
||||
label: targets
|
||||
@@ -5114,19 +5162,32 @@ liquid_handler.biomek:
|
||||
- 0
|
||||
handles:
|
||||
input:
|
||||
- data_key: liquid
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: liquid-input
|
||||
io_type: target
|
||||
label: Liquid Input
|
||||
output:
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
handler_key: sources
|
||||
label: sources
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: liquid-output
|
||||
io_type: source
|
||||
label: Liquid Output
|
||||
handler_key: targets
|
||||
label: targets
|
||||
- data_key: tip_racks
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: tip_racks
|
||||
label: tip_racks
|
||||
output:
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: sources_out
|
||||
label: sources
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets_out
|
||||
label: targets
|
||||
placeholder_keys:
|
||||
sources: unilabos_resources
|
||||
targets: unilabos_resources
|
||||
@@ -7604,6 +7665,43 @@ liquid_handler.prcxi:
|
||||
title: iter_tips参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
auto-magnetic_action:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
height: null
|
||||
is_wait: null
|
||||
module_no: null
|
||||
time: null
|
||||
handles: {}
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: ''
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
height:
|
||||
type: integer
|
||||
is_wait:
|
||||
type: boolean
|
||||
module_no:
|
||||
type: integer
|
||||
time:
|
||||
type: integer
|
||||
required:
|
||||
- time
|
||||
- module_no
|
||||
- height
|
||||
- is_wait
|
||||
type: object
|
||||
result: {}
|
||||
required:
|
||||
- goal
|
||||
title: magnetic_action参数
|
||||
type: object
|
||||
type: UniLabJsonCommandAsync
|
||||
auto-move_to:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
@@ -7637,6 +7735,31 @@ liquid_handler.prcxi:
|
||||
title: move_to参数
|
||||
type: object
|
||||
type: UniLabJsonCommandAsync
|
||||
auto-plr_pos_to_prcxi:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
resource: null
|
||||
handles: {}
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: ''
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
resource:
|
||||
type: object
|
||||
required:
|
||||
- resource
|
||||
type: object
|
||||
result: {}
|
||||
required:
|
||||
- goal
|
||||
title: plr_pos_to_prcxi参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
auto-post_init:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
@@ -7757,6 +7880,47 @@ liquid_handler.prcxi:
|
||||
title: shaker_action参数
|
||||
type: object
|
||||
type: UniLabJsonCommandAsync
|
||||
auto-shaking_incubation_action:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
amplitude: null
|
||||
is_wait: null
|
||||
module_no: null
|
||||
temperature: null
|
||||
time: null
|
||||
handles: {}
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: ''
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
amplitude:
|
||||
type: integer
|
||||
is_wait:
|
||||
type: boolean
|
||||
module_no:
|
||||
type: integer
|
||||
temperature:
|
||||
type: integer
|
||||
time:
|
||||
type: integer
|
||||
required:
|
||||
- time
|
||||
- module_no
|
||||
- amplitude
|
||||
- is_wait
|
||||
- temperature
|
||||
type: object
|
||||
result: {}
|
||||
required:
|
||||
- goal
|
||||
title: shaking_incubation_action参数
|
||||
type: object
|
||||
type: UniLabJsonCommandAsync
|
||||
auto-touch_tip:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
@@ -8491,7 +8655,19 @@ liquid_handler.prcxi:
|
||||
z: 0.0
|
||||
sample_id: ''
|
||||
type: ''
|
||||
handles: {}
|
||||
handles:
|
||||
input:
|
||||
- data_key: plate
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: plate
|
||||
label: plate
|
||||
output:
|
||||
- data_key: plate
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: plate
|
||||
label: plate
|
||||
placeholder_keys:
|
||||
plate: unilabos_resources
|
||||
to: unilabos_resources
|
||||
@@ -9284,7 +9460,13 @@ 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 +9582,165 @@ 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 +10086,32 @@ 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
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets
|
||||
label: targets
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
- data_key: tip_racks
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: tip_rack
|
||||
label: tip_rack
|
||||
handler_key: tip_racks
|
||||
label: tip_racks
|
||||
output:
|
||||
- data_key: liquid
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: sources_out
|
||||
label: sources
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets_out
|
||||
label: targets
|
||||
label: 移液后目标孔
|
||||
placeholder_keys:
|
||||
sources: unilabos_resources
|
||||
targets: unilabos_resources
|
||||
@@ -10151,6 +10492,12 @@ liquid_handler.prcxi:
|
||||
type: string
|
||||
deck:
|
||||
type: object
|
||||
deck_y:
|
||||
default: 400
|
||||
type: string
|
||||
deck_z:
|
||||
default: 300
|
||||
type: string
|
||||
host:
|
||||
type: string
|
||||
is_9320:
|
||||
@@ -10161,17 +10508,44 @@ liquid_handler.prcxi:
|
||||
type: string
|
||||
port:
|
||||
type: integer
|
||||
rail_interval:
|
||||
default: 0
|
||||
type: string
|
||||
rail_nums:
|
||||
default: 4
|
||||
type: string
|
||||
rail_width:
|
||||
default: 27.5
|
||||
type: string
|
||||
setup:
|
||||
default: true
|
||||
type: string
|
||||
simulator:
|
||||
default: false
|
||||
type: string
|
||||
start_rail:
|
||||
default: 2
|
||||
type: string
|
||||
step_mode:
|
||||
default: false
|
||||
type: string
|
||||
timeout:
|
||||
type: number
|
||||
x_increase:
|
||||
default: -0.003636
|
||||
type: string
|
||||
x_offset:
|
||||
default: -0.8
|
||||
type: string
|
||||
xy_coupling:
|
||||
default: -0.0045
|
||||
type: string
|
||||
y_increase:
|
||||
default: -0.003636
|
||||
type: string
|
||||
y_offset:
|
||||
default: -37.98
|
||||
type: string
|
||||
required:
|
||||
- deck
|
||||
- host
|
||||
|
||||
@@ -5792,3 +5792,381 @@ virtual_vacuum_pump:
|
||||
- status
|
||||
type: object
|
||||
version: 1.0.0
|
||||
virtual_workbench:
|
||||
category:
|
||||
- virtual_device
|
||||
class:
|
||||
action_value_mappings:
|
||||
auto-move_to_heating_station:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
material_number: null
|
||||
handles:
|
||||
input:
|
||||
- data_key: material_number
|
||||
data_source: handle
|
||||
data_type: workbench_material
|
||||
handler_key: material_input
|
||||
label: 物料编号
|
||||
output:
|
||||
- data_key: station_id
|
||||
data_source: executor
|
||||
data_type: workbench_station
|
||||
handler_key: heating_station_output
|
||||
label: 加热台ID
|
||||
- data_key: material_number
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: material_number_output
|
||||
label: 物料编号
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: 将物料从An位置移动到空闲加热台,返回分配的加热台ID
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
material_number:
|
||||
description: 物料编号,1-5,物料ID自动生成为A{n}
|
||||
type: integer
|
||||
required:
|
||||
- material_number
|
||||
type: object
|
||||
result:
|
||||
description: move_to_heating_station 返回类型
|
||||
properties:
|
||||
material_id:
|
||||
title: Material Id
|
||||
type: string
|
||||
material_number:
|
||||
title: Material Number
|
||||
type: integer
|
||||
message:
|
||||
title: Message
|
||||
type: string
|
||||
station_id:
|
||||
description: 分配的加热台ID
|
||||
title: Station Id
|
||||
type: integer
|
||||
success:
|
||||
title: Success
|
||||
type: boolean
|
||||
required:
|
||||
- success
|
||||
- station_id
|
||||
- material_id
|
||||
- material_number
|
||||
- message
|
||||
title: MoveToHeatingStationResult
|
||||
type: object
|
||||
required:
|
||||
- goal
|
||||
title: move_to_heating_station参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
auto-move_to_output:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
material_number: null
|
||||
station_id: null
|
||||
handles:
|
||||
input:
|
||||
- data_key: station_id
|
||||
data_source: handle
|
||||
data_type: workbench_station
|
||||
handler_key: output_station_input
|
||||
label: 加热台ID
|
||||
- data_key: material_number
|
||||
data_source: handle
|
||||
data_type: workbench_material
|
||||
handler_key: output_material_input
|
||||
label: 物料编号
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: 将物料从加热台移动到输出位置Cn
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
material_number:
|
||||
description: 物料编号,用于确定输出位置Cn
|
||||
type: integer
|
||||
station_id:
|
||||
description: 加热台ID,1-3,从上一节点传入
|
||||
type: integer
|
||||
required:
|
||||
- station_id
|
||||
- material_number
|
||||
type: object
|
||||
result:
|
||||
description: move_to_output 返回类型
|
||||
properties:
|
||||
material_id:
|
||||
title: Material Id
|
||||
type: string
|
||||
station_id:
|
||||
title: Station Id
|
||||
type: integer
|
||||
success:
|
||||
title: Success
|
||||
type: boolean
|
||||
required:
|
||||
- success
|
||||
- station_id
|
||||
- material_id
|
||||
title: MoveToOutputResult
|
||||
type: object
|
||||
required:
|
||||
- goal
|
||||
title: move_to_output参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
auto-prepare_materials:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
count: 5
|
||||
handles:
|
||||
output:
|
||||
- data_key: material_1
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: channel_1
|
||||
label: 实验1
|
||||
- data_key: material_2
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: channel_2
|
||||
label: 实验2
|
||||
- data_key: material_3
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: channel_3
|
||||
label: 实验3
|
||||
- data_key: material_4
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: channel_4
|
||||
label: 实验4
|
||||
- data_key: material_5
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: channel_5
|
||||
label: 实验5
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: 批量准备物料 - 虚拟起始节点,生成A1-A5物料,输出5个handle供后续节点使用
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
count:
|
||||
default: 5
|
||||
description: 待生成的物料数量,默认5 (生成 A1-A5)
|
||||
type: integer
|
||||
required: []
|
||||
type: object
|
||||
result:
|
||||
description: prepare_materials 返回类型 - 批量准备物料
|
||||
properties:
|
||||
count:
|
||||
title: Count
|
||||
type: integer
|
||||
material_1:
|
||||
title: Material 1
|
||||
type: integer
|
||||
material_2:
|
||||
title: Material 2
|
||||
type: integer
|
||||
material_3:
|
||||
title: Material 3
|
||||
type: integer
|
||||
material_4:
|
||||
title: Material 4
|
||||
type: integer
|
||||
material_5:
|
||||
title: Material 5
|
||||
type: integer
|
||||
message:
|
||||
title: Message
|
||||
type: string
|
||||
success:
|
||||
title: Success
|
||||
type: boolean
|
||||
required:
|
||||
- success
|
||||
- count
|
||||
- material_1
|
||||
- material_2
|
||||
- material_3
|
||||
- material_4
|
||||
- material_5
|
||||
- message
|
||||
title: PrepareMaterialsResult
|
||||
type: object
|
||||
required:
|
||||
- goal
|
||||
title: prepare_materials参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
auto-start_heating:
|
||||
feedback: {}
|
||||
goal: {}
|
||||
goal_default:
|
||||
material_number: null
|
||||
station_id: null
|
||||
handles:
|
||||
input:
|
||||
- data_key: station_id
|
||||
data_source: handle
|
||||
data_type: workbench_station
|
||||
handler_key: station_id_input
|
||||
label: 加热台ID
|
||||
- data_key: material_number
|
||||
data_source: handle
|
||||
data_type: workbench_material
|
||||
handler_key: material_number_input
|
||||
label: 物料编号
|
||||
output:
|
||||
- data_key: station_id
|
||||
data_source: executor
|
||||
data_type: workbench_station
|
||||
handler_key: heating_done_station
|
||||
label: 加热完成-加热台ID
|
||||
- data_key: material_number
|
||||
data_source: executor
|
||||
data_type: workbench_material
|
||||
handler_key: heating_done_material
|
||||
label: 加热完成-物料编号
|
||||
placeholder_keys: {}
|
||||
result: {}
|
||||
schema:
|
||||
description: 启动指定加热台的加热程序
|
||||
properties:
|
||||
feedback: {}
|
||||
goal:
|
||||
properties:
|
||||
material_number:
|
||||
description: 物料编号,从上一节点传入
|
||||
type: integer
|
||||
station_id:
|
||||
description: 加热台ID,1-3,从上一节点传入
|
||||
type: integer
|
||||
required:
|
||||
- station_id
|
||||
- material_number
|
||||
type: object
|
||||
result:
|
||||
description: start_heating 返回类型
|
||||
properties:
|
||||
material_id:
|
||||
title: Material Id
|
||||
type: string
|
||||
material_number:
|
||||
title: Material Number
|
||||
type: integer
|
||||
message:
|
||||
title: Message
|
||||
type: string
|
||||
station_id:
|
||||
title: Station Id
|
||||
type: integer
|
||||
success:
|
||||
title: Success
|
||||
type: boolean
|
||||
required:
|
||||
- success
|
||||
- station_id
|
||||
- material_id
|
||||
- material_number
|
||||
- message
|
||||
title: StartHeatingResult
|
||||
type: object
|
||||
required:
|
||||
- goal
|
||||
title: start_heating参数
|
||||
type: object
|
||||
type: UniLabJsonCommand
|
||||
module: unilabos.devices.virtual.workbench:VirtualWorkbench
|
||||
status_types:
|
||||
active_tasks_count: int
|
||||
arm_current_task: str
|
||||
arm_state: str
|
||||
heating_station_1_material: str
|
||||
heating_station_1_progress: float
|
||||
heating_station_1_state: str
|
||||
heating_station_2_material: str
|
||||
heating_station_2_progress: float
|
||||
heating_station_2_state: str
|
||||
heating_station_3_material: str
|
||||
heating_station_3_progress: float
|
||||
heating_station_3_state: str
|
||||
message: str
|
||||
status: str
|
||||
type: python
|
||||
config_info: []
|
||||
description: Virtual Workbench with 1 robotic arm and 3 heating stations for concurrent
|
||||
material processing
|
||||
handles: []
|
||||
icon: ''
|
||||
init_param_schema:
|
||||
config:
|
||||
properties:
|
||||
config:
|
||||
type: string
|
||||
device_id:
|
||||
type: string
|
||||
required: []
|
||||
type: object
|
||||
data:
|
||||
properties:
|
||||
active_tasks_count:
|
||||
type: integer
|
||||
arm_current_task:
|
||||
type: string
|
||||
arm_state:
|
||||
type: string
|
||||
heating_station_1_material:
|
||||
type: string
|
||||
heating_station_1_progress:
|
||||
type: number
|
||||
heating_station_1_state:
|
||||
type: string
|
||||
heating_station_2_material:
|
||||
type: string
|
||||
heating_station_2_progress:
|
||||
type: number
|
||||
heating_station_2_state:
|
||||
type: string
|
||||
heating_station_3_material:
|
||||
type: string
|
||||
heating_station_3_progress:
|
||||
type: number
|
||||
heating_station_3_state:
|
||||
type: string
|
||||
message:
|
||||
type: string
|
||||
status:
|
||||
type: string
|
||||
required:
|
||||
- status
|
||||
- arm_state
|
||||
- arm_current_task
|
||||
- heating_station_1_state
|
||||
- heating_station_1_material
|
||||
- heating_station_1_progress
|
||||
- heating_station_2_state
|
||||
- heating_station_2_material
|
||||
- heating_station_2_progress
|
||||
- heating_station_3_state
|
||||
- heating_station_3_material
|
||||
- heating_station_3_progress
|
||||
- active_tasks_count
|
||||
- message
|
||||
type: object
|
||||
version: 1.0.0
|
||||
|
||||
@@ -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
|
||||
|
||||
@@ -71,6 +74,20 @@ class Registry:
|
||||
|
||||
from unilabos.app.web.utils.action_utils import get_yaml_from_goal_type
|
||||
|
||||
# 获取 HostNode 类的增强信息,用于自动生成 action schema
|
||||
host_node_enhanced_info = get_enhanced_class_info(
|
||||
"unilabos.ros.nodes.presets.host_node:HostNode", use_dynamic=True
|
||||
)
|
||||
|
||||
# 为 test_latency 生成 schema,保留原有 description
|
||||
test_latency_method_info = host_node_enhanced_info.get("action_methods", {}).get("test_latency", {})
|
||||
test_latency_schema = self._generate_unilab_json_command_schema(
|
||||
test_latency_method_info.get("args", []),
|
||||
"test_latency",
|
||||
test_latency_method_info.get("return_annotation"),
|
||||
)
|
||||
test_latency_schema["description"] = "用于测试延迟的动作,返回延迟时间和时间差。"
|
||||
|
||||
self.device_type_registry.update(
|
||||
{
|
||||
"host_node": {
|
||||
@@ -153,14 +170,18 @@ class Registry:
|
||||
},
|
||||
},
|
||||
"test_latency": {
|
||||
"type": self.EmptyIn,
|
||||
"type": (
|
||||
"UniLabJsonCommandAsync"
|
||||
if test_latency_method_info.get("is_async", False)
|
||||
else "UniLabJsonCommand"
|
||||
),
|
||||
"goal": {},
|
||||
"feedback": {},
|
||||
"result": {},
|
||||
"schema": ros_action_to_json_schema(
|
||||
self.EmptyIn, "用于测试延迟的动作,返回延迟时间和时间差。"
|
||||
),
|
||||
"goal_default": {},
|
||||
"schema": test_latency_schema,
|
||||
"goal_default": {
|
||||
arg["name"]: arg["default"] for arg in test_latency_method_info.get("args", [])
|
||||
},
|
||||
"handles": {},
|
||||
},
|
||||
"auto-test_resource": {
|
||||
@@ -243,18 +264,26 @@ class Registry:
|
||||
# 标记setup已被调用
|
||||
self._setup_called = 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):
|
||||
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 = {}
|
||||
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"
|
||||
@@ -282,28 +311,68 @@ class Registry:
|
||||
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
|
||||
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.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]:
|
||||
"""
|
||||
@@ -480,7 +549,11 @@ class Registry:
|
||||
return status_schema
|
||||
|
||||
def _generate_unilab_json_command_schema(
|
||||
self, method_args: List[Dict[str, Any]], method_name: str, return_annotation: Any = None
|
||||
self,
|
||||
method_args: List[Dict[str, Any]],
|
||||
method_name: str,
|
||||
return_annotation: Any = None,
|
||||
previous_schema: Dict[str, Any] | None = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
根据UniLabJsonCommand方法信息生成JSON Schema,暂不支持嵌套类型
|
||||
@@ -489,6 +562,7 @@ class Registry:
|
||||
method_args: 方法信息字典,包含args等
|
||||
method_name: 方法名称
|
||||
return_annotation: 返回类型注解,用于生成result schema(仅支持TypedDict)
|
||||
previous_schema: 之前的 schema,用于保留 goal/feedback/result 下一级字段的 description
|
||||
|
||||
Returns:
|
||||
JSON Schema格式的参数schema
|
||||
@@ -522,7 +596,7 @@ class Registry:
|
||||
if return_annotation is not None and self._is_typed_dict(return_annotation):
|
||||
result_schema = self._generate_typed_dict_result_schema(return_annotation)
|
||||
|
||||
return {
|
||||
final_schema = {
|
||||
"title": f"{method_name}参数",
|
||||
"description": f"",
|
||||
"type": "object",
|
||||
@@ -530,6 +604,40 @@ class Registry:
|
||||
"required": ["goal"],
|
||||
}
|
||||
|
||||
# 保留之前 schema 中 goal/feedback/result 下一级字段的 description
|
||||
if previous_schema:
|
||||
self._preserve_field_descriptions(final_schema, previous_schema)
|
||||
|
||||
return final_schema
|
||||
|
||||
def _preserve_field_descriptions(self, new_schema: Dict[str, Any], previous_schema: Dict[str, Any]) -> None:
|
||||
"""
|
||||
保留之前 schema 中 goal/feedback/result 下一级字段的 description 和 title
|
||||
|
||||
Args:
|
||||
new_schema: 新生成的 schema(会被修改)
|
||||
previous_schema: 之前的 schema
|
||||
"""
|
||||
for section in ["goal", "feedback", "result"]:
|
||||
new_section = new_schema.get("properties", {}).get(section, {})
|
||||
prev_section = previous_schema.get("properties", {}).get(section, {})
|
||||
|
||||
if not new_section or not prev_section:
|
||||
continue
|
||||
|
||||
new_props = new_section.get("properties", {})
|
||||
prev_props = prev_section.get("properties", {})
|
||||
|
||||
for field_name, field_schema in new_props.items():
|
||||
if field_name in prev_props:
|
||||
prev_field = prev_props[field_name]
|
||||
# 保留字段的 description
|
||||
if "description" in prev_field and prev_field["description"]:
|
||||
field_schema["description"] = prev_field["description"]
|
||||
# 保留字段的 title(用户自定义的中文名)
|
||||
if "title" in prev_field and prev_field["title"]:
|
||||
field_schema["title"] = prev_field["title"]
|
||||
|
||||
def _is_typed_dict(self, annotation: Any) -> bool:
|
||||
"""
|
||||
检查类型注解是否是TypedDict
|
||||
@@ -616,32 +724,34 @@ class Registry:
|
||||
"handles": {},
|
||||
}
|
||||
|
||||
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
|
||||
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
|
||||
from unilabos.app.web.utils.action_utils import get_yaml_from_goal_type
|
||||
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)
|
||||
|
||||
for i, file in enumerate(files):
|
||||
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 = {}
|
||||
if data:
|
||||
# 在添加到注册表前处理类型替换
|
||||
device_ids = []
|
||||
|
||||
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:
|
||||
@@ -659,10 +769,7 @@ class Registry:
|
||||
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
|
||||
):
|
||||
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"]
|
||||
@@ -680,38 +787,26 @@ class Registry:
|
||||
)
|
||||
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
|
||||
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}"
|
||||
)
|
||||
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
|
||||
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())
|
||||
)
|
||||
device_config["class"]["status_types"] = dict(sorted(device_config["class"]["status_types"].items()))
|
||||
if complete_registry:
|
||||
# 保存原有的description信息
|
||||
old_descriptions = {}
|
||||
old_action_configs = {}
|
||||
for action_name, action_config in device_config["class"]["action_value_mappings"].items():
|
||||
if "description" in action_config.get("schema", {}):
|
||||
description = action_config["schema"]["description"]
|
||||
if len(description):
|
||||
old_descriptions[action_name] = action_config["schema"]["description"]
|
||||
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-")
|
||||
}
|
||||
# 处理动作值映射
|
||||
device_config["class"]["action_value_mappings"].update(
|
||||
{
|
||||
f"auto-{k}": {
|
||||
@@ -720,16 +815,18 @@ class Registry:
|
||||
"feedback": {},
|
||||
"result": {},
|
||||
"schema": self._generate_unilab_json_command_schema(
|
||||
v["args"], k, v.get("return_annotation")
|
||||
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": [],
|
||||
"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")
|
||||
or i["type"] == ("list", "unilabos.registry.placeholder_type:ResourceSlot")
|
||||
else "unilabos_devices"
|
||||
)
|
||||
for i in v["args"]
|
||||
@@ -742,17 +839,17 @@ class Registry:
|
||||
]
|
||||
},
|
||||
}
|
||||
# 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(auto开头的不修改)
|
||||
for action_name, description in old_descriptions.items():
|
||||
if action_name in device_config["class"]["action_value_mappings"]: # 有一些会被删除
|
||||
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"
|
||||
] = 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__"
|
||||
@@ -776,7 +873,6 @@ class Registry:
|
||||
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(
|
||||
@@ -794,31 +890,78 @@ class Registry:
|
||||
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
|
||||
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"]]
|
||||
# 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} "
|
||||
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):
|
||||
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(
|
||||
f"[UniLab Registry] devices: {devices_path.exists()}, device_comms: {device_comms_path.exists()}, "
|
||||
+ f"total: {len(files)}"
|
||||
)
|
||||
|
||||
if not files:
|
||||
return
|
||||
|
||||
from unilabos.app.web.utils.action_utils import get_yaml_from_goal_type
|
||||
|
||||
# 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
|
||||
}
|
||||
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}")
|
||||
|
||||
# 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 = []
|
||||
|
||||
@@ -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]
|
||||
|
||||
@@ -79,6 +79,7 @@ class ItemizedCarrier(ResourcePLR):
|
||||
category: Optional[str] = "carrier",
|
||||
model: Optional[str] = None,
|
||||
invisible_slots: Optional[str] = None,
|
||||
content_type: Optional[List[str]] = ["bottle", "container", "tube", "bottle_carrier", "tip_rack"],
|
||||
):
|
||||
super().__init__(
|
||||
name=name,
|
||||
@@ -92,6 +93,7 @@ class ItemizedCarrier(ResourcePLR):
|
||||
self.num_items_x, self.num_items_y, self.num_items_z = num_items_x, num_items_y, num_items_z
|
||||
self.invisible_slots = [] if invisible_slots is None else invisible_slots
|
||||
self.layout = "z-y" if self.num_items_z > 1 and self.num_items_x == 1 else "x-z" if self.num_items_z > 1 and self.num_items_y == 1 else "x-y"
|
||||
self.content_type = content_type
|
||||
|
||||
if isinstance(sites, dict):
|
||||
sites = sites or {}
|
||||
@@ -419,7 +421,7 @@ class ItemizedCarrier(ResourcePLR):
|
||||
self[identifier] if isinstance(self[identifier], str) else None,
|
||||
"position": {"x": location.x, "y": location.y, "z": location.z},
|
||||
"size": self.child_size[identifier],
|
||||
"content_type": ["bottle", "container", "tube", "bottle_carrier", "tip_rack"]
|
||||
"content_type": self.content_type
|
||||
} for identifier, location in self.child_locations.items()]
|
||||
}
|
||||
|
||||
|
||||
@@ -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)
|
||||
@@ -976,7 +987,7 @@ 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
|
||||
|
||||
|
||||
@@ -361,6 +361,13 @@ def convert_to_ros_msg(ros_msg_type: Union[Type, Any], obj: Any) -> Any:
|
||||
if hasattr(ros_msg, key):
|
||||
attr = getattr(ros_msg, key)
|
||||
if isinstance(attr, (float, int, str, bool)):
|
||||
# 处理list类型的值,取第一个元素或抛出错误
|
||||
if isinstance(value, list):
|
||||
if len(value) > 0:
|
||||
setattr(ros_msg, key, type(attr)(value[0]))
|
||||
else:
|
||||
setattr(ros_msg, key, type(attr)()) # 使用默认值
|
||||
else:
|
||||
setattr(ros_msg, key, type(attr)(value))
|
||||
elif isinstance(attr, (list, tuple)) and isinstance(value, Iterable):
|
||||
td = ros_msg.SLOT_TYPES[ind].value_type
|
||||
@@ -374,9 +381,35 @@ def convert_to_ros_msg(ros_msg_type: Union[Type, Any], obj: Any) -> Any:
|
||||
setattr(ros_msg, key, []) # FIXME
|
||||
elif "array.array" in str(type(attr)):
|
||||
if attr.typecode == "f" or attr.typecode == "d":
|
||||
# 如果是单个值,转换为列表
|
||||
if value is None:
|
||||
value = []
|
||||
elif not isinstance(value, Iterable) or isinstance(value, (str, bytes)):
|
||||
value = [value]
|
||||
setattr(ros_msg, key, [float(i) for i in value])
|
||||
else:
|
||||
setattr(ros_msg, key, value)
|
||||
# 对于整数数组,需要确保是序列且每个值在有效范围内
|
||||
if value is None:
|
||||
value = []
|
||||
elif not isinstance(value, Iterable) or isinstance(value, (str, bytes)):
|
||||
# 如果是单个值,转换为列表
|
||||
value = [value]
|
||||
# 确保每个整数值在有效范围内(-2147483648 到 2147483647)
|
||||
converted_value = []
|
||||
for i in value:
|
||||
if i is None:
|
||||
continue # 跳过 None 值
|
||||
if isinstance(i, (int, float)):
|
||||
int_val = int(i)
|
||||
# 确保在 int32 范围内
|
||||
if int_val < -2147483648:
|
||||
int_val = -2147483648
|
||||
elif int_val > 2147483647:
|
||||
int_val = 2147483647
|
||||
converted_value.append(int_val)
|
||||
else:
|
||||
converted_value.append(i)
|
||||
setattr(ros_msg, key, converted_value)
|
||||
else:
|
||||
nested_ros_msg = convert_to_ros_msg(type(attr)(), value)
|
||||
setattr(ros_msg, key, nested_ros_msg)
|
||||
|
||||
@@ -1,3 +1,4 @@
|
||||
from ast import Try
|
||||
import inspect
|
||||
import io
|
||||
import json
|
||||
@@ -885,6 +886,9 @@ 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(
|
||||
@@ -1320,20 +1324,49 @@ 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
|
||||
)
|
||||
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)
|
||||
queried_resources[idx] = plr_resource
|
||||
else:
|
||||
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
|
||||
|
||||
# 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()
|
||||
# 通过uuid查找对应的plr_resource
|
||||
tracker = self.resource_tracker
|
||||
for idx, uuid, resource_data in uuid_indices:
|
||||
try:
|
||||
plr_resource = tracker.loop_find_with_uuid(plr_resources, uuid)
|
||||
if "sample_id" in resource_data:
|
||||
plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
|
||||
queried_resources[idx] = plr_resource
|
||||
except Exception as e:
|
||||
self.lab_logger().error(f"资源查询失败: {e}\n{traceback.format_exc()}")
|
||||
continue
|
||||
self.lab_logger().debug(f"资源查询结果: 共 {len(queried_resources)} 个资源")
|
||||
|
||||
# 通过资源跟踪器获取本地实例
|
||||
@@ -1468,6 +1501,8 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
if isinstance(rs, list):
|
||||
for r in rs:
|
||||
res = self.resource_tracker.parent_resource(r) # 获取 resource 对象
|
||||
elif type(rs).__name__ == "ResourceHolder":
|
||||
pass
|
||||
else:
|
||||
res = self.resource_tracker.parent_resource(rs)
|
||||
if id(res) not in seen:
|
||||
@@ -1566,7 +1601,7 @@ 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(
|
||||
@@ -1599,8 +1634,8 @@ 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}")
|
||||
|
||||
@@ -794,7 +794,8 @@ 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))
|
||||
@@ -1161,7 +1162,7 @@ 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
|
||||
|
||||
@@ -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
|
||||
|
||||
836
unilabos/test/experiments/prcxi_9320_no_res.json
Normal file
836
unilabos/test/experiments/prcxi_9320_no_res.json
Normal file
@@ -0,0 +1,836 @@
|
||||
{
|
||||
"nodes": [
|
||||
{
|
||||
"id": "PRCXI",
|
||||
"name": "PRCXI",
|
||||
"type": "device",
|
||||
"class": "liquid_handler.prcxi",
|
||||
"parent": "",
|
||||
"pose": {
|
||||
"size": {
|
||||
"width": 550,
|
||||
"height": 400,
|
||||
"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": false,
|
||||
"setup": false,
|
||||
"is_9320": true,
|
||||
"timeout": 10,
|
||||
"matrix_id": "5de524d0-3f95-406c-86dd-f83626ebc7cb",
|
||||
"simulator": false,
|
||||
"channel_num": 2
|
||||
},
|
||||
"data": {
|
||||
"reset_ok": true
|
||||
},
|
||||
"schema": {},
|
||||
"description": "",
|
||||
"model": null,
|
||||
"position": {
|
||||
"x": 0,
|
||||
"y": 700,
|
||||
"z": 0
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "PRCXI_Deck",
|
||||
"name": "PRCXI_Deck",
|
||||
|
||||
"children": [],
|
||||
"parent": "PRCXI",
|
||||
"type": "deck",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Deck",
|
||||
"size_x": 550,
|
||||
"size_y": 400,
|
||||
"size_z": 17,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "deck",
|
||||
"barcode": null
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T1",
|
||||
"name": "T1",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 5,
|
||||
"y": 301,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T1",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T2",
|
||||
"name": "T2",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 142.5,
|
||||
"y": 301,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T2",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T3",
|
||||
"name": "T3",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 280,
|
||||
"y": 301,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T3",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T4",
|
||||
"name": "T4",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 417.5,
|
||||
"y": 301,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 94,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T4",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T5",
|
||||
"name": "T5",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 5,
|
||||
"y": 205,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T5",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T6",
|
||||
"name": "T6",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 142.5,
|
||||
"y": 205,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
||||
"sites": [
|
||||
{
|
||||
"label": "T6",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T7",
|
||||
"name": "T7",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 280,
|
||||
"y": 205,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
|
||||
"size_x": 127.5,
|
||||
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||||
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|
||||
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||||
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|
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
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"data": {}
|
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|
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||||
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"plate",
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||||
"tip_rack",
|
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"plates",
|
||||
"tip_racks",
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||||
"tube_rack"
|
||||
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|
||||
}
|
||||
]
|
||||
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||||
"data": {}
|
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},
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||||
{
|
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"id": "T10",
|
||||
"name": "T10",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
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"z": 0,
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"type": "Rotation"
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},
|
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"category": "plate",
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"model": null,
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||||
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|
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"sites": [
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{
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||||
"label": "T10",
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"visible": true,
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"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
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"content_type": [
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"plate",
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||||
"tip_rack",
|
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"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
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},
|
||||
{
|
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"id": "T11",
|
||||
"name": "T11",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
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"class": "",
|
||||
"position": {
|
||||
"x": 280,
|
||||
"y": 109,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300PlateAdapterSite",
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"size_x": 127.5,
|
||||
"size_y": 86,
|
||||
"size_z": 28,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
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||||
"z": 0,
|
||||
"type": "Rotation"
|
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},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
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|
||||
"sites": [
|
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{
|
||||
"label": "T11",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
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"content_type": [
|
||||
"plate",
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||||
"tip_rack",
|
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"plates",
|
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"tip_racks",
|
||||
"tube_rack"
|
||||
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|
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}
|
||||
]
|
||||
},
|
||||
"data": {}
|
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},
|
||||
{
|
||||
"id": "T12",
|
||||
"name": "T12",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
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"class": "",
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"position": {
|
||||
"x": 417.5,
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||||
"y": 109,
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"z": 0
|
||||
},
|
||||
"config": {
|
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"type": "PRCXI9300PlateAdapterSite",
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"size_x": 127.5,
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"size_y": 86,
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"size_z": 28,
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"rotation": {
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"x": 0,
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||||
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"z": 0,
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"type": "Rotation"
|
||||
},
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"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
|
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"sites": [
|
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{
|
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|
||||
"visible": true,
|
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"size": { "width": 128.0, "height": 86, "depth": 0 },
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"content_type": [
|
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"plate",
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||||
"tip_rack",
|
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"plates",
|
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"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
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},
|
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{
|
||||
"id": "T13",
|
||||
"name": "T13",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
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"class": "",
|
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"position": {
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"x": 5,
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||||
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"z": 0
|
||||
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|
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|
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"size_x": 127.5,
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"size_y": 86,
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"rotation": {
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"x": 0,
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"y": 0,
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"type": "Rotation"
|
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},
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"category": "plate",
|
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"model": null,
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|
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{
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"visible": true,
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|
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"plate",
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|
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"plates",
|
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"tip_racks",
|
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"tube_rack"
|
||||
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|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
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},
|
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{
|
||||
"id": "T14",
|
||||
"name": "T14",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
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"class": "",
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|
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{
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"size": { "width": 128.0, "height": 86, "depth": 0 },
|
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|
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"plate",
|
||||
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|
||||
"plates",
|
||||
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|
||||
"tube_rack"
|
||||
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|
||||
}
|
||||
]
|
||||
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|
||||
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|
||||
},
|
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{
|
||||
"id": "T15",
|
||||
"name": "T15",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
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|
||||
"tip_racks",
|
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"tube_rack"
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"name": "T16",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
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|
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|
||||
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|
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "trash",
|
||||
"name": "trash",
|
||||
|
||||
"children": [],
|
||||
"parent": "T16",
|
||||
"type": "trash",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Trash",
|
||||
"size_x": 127.5,
|
||||
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|
||||
"size_z": 10,
|
||||
"rotation": {
|
||||
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|
||||
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|
||||
"z": 0,
|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
"max_volume": "Infinity",
|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"data": {
|
||||
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|
||||
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|
||||
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|
||||
"Material": {
|
||||
"uuid": "730067cf07ae43849ddf4034299030e9"
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"edges": []
|
||||
}
|
||||
795
unilabos/test/experiments/prcxi_9320_slim.json
Normal file
795
unilabos/test/experiments/prcxi_9320_slim.json
Normal file
@@ -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",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 10,
|
||||
"y": 10,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Deck",
|
||||
"size_x": 542,
|
||||
"size_y": 374,
|
||||
"size_z": 0,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "deck",
|
||||
"barcode": null
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T1",
|
||||
"name": "T1",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 0,
|
||||
"y": 288,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Container",
|
||||
"size_x": 127,
|
||||
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|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 138,
|
||||
"y": 0,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Container",
|
||||
"size_x": 127,
|
||||
"size_y": 85.5,
|
||||
"size_z": 10,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
"ordering": {},
|
||||
"sites": [
|
||||
{
|
||||
"label": "T14",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T15",
|
||||
"name": "T15",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 276,
|
||||
"y": 0,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Container",
|
||||
"size_x": 127,
|
||||
"size_y": 85.5,
|
||||
"size_z": 10,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
"ordering": {},
|
||||
"sites": [
|
||||
{
|
||||
"label": "T15",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
},
|
||||
{
|
||||
"id": "T16",
|
||||
"name": "T16",
|
||||
"children": [],
|
||||
"parent": "PRCXI_Deck",
|
||||
"type": "plate",
|
||||
"class": "",
|
||||
"position": {
|
||||
"x": 414,
|
||||
"y": 0,
|
||||
"z": 0
|
||||
},
|
||||
"config": {
|
||||
"type": "PRCXI9300Container",
|
||||
"size_x": 127,
|
||||
"size_y": 85.5,
|
||||
"size_z": 10,
|
||||
"rotation": {
|
||||
"x": 0,
|
||||
"y": 0,
|
||||
"z": 0,
|
||||
"type": "Rotation"
|
||||
},
|
||||
"category": "plate",
|
||||
"model": null,
|
||||
"barcode": null,
|
||||
"ordering": {},
|
||||
"sites": [
|
||||
{
|
||||
"label": "T16",
|
||||
"visible": true,
|
||||
"position": { "x": 0, "y": 0, "z": 0 },
|
||||
"size": { "width": 128.0, "height": 86, "depth": 0 },
|
||||
"content_type": [
|
||||
"plate",
|
||||
"tip_rack",
|
||||
"plates",
|
||||
"tip_racks",
|
||||
"tube_rack"
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"data": {}
|
||||
}
|
||||
],
|
||||
"edges": []
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -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)
|
||||
|
||||
18
unilabos/utils/requirements.txt
Normal file
18
unilabos/utils/requirements.txt
Normal file
@@ -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
|
||||
@@ -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
|
||||
|
||||
|
||||
@@ -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
|
||||
|
||||
356
unilabos/workflow/legacy/convert_from_json_legacy.py
Normal file
356
unilabos/workflow/legacy/convert_from_json_legacy.py
Normal file
@@ -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
|
||||
@@ -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>0.10.15</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>
|
||||
|
||||
Reference in New Issue
Block a user