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25 Commits
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feat/add_u
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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
|
||||
- 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"
|
||||
77
.github/workflows/ci-check.yml
vendored
77
.github/workflows/ci-check.yml
vendored
@@ -8,14 +8,19 @@ on:
|
||||
|
||||
jobs:
|
||||
registry-check:
|
||||
runs-on: ubuntu-latest
|
||||
runs-on: windows-latest
|
||||
|
||||
env:
|
||||
# Fix Unicode encoding issue on Windows runner (cp1252 -> utf-8)
|
||||
PYTHONIOENCODING: utf-8
|
||||
PYTHONUTF8: 1
|
||||
|
||||
defaults:
|
||||
run:
|
||||
shell: bash -l {0}
|
||||
shell: cmd
|
||||
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- uses: actions/checkout@v6
|
||||
with:
|
||||
fetch-depth: 0
|
||||
|
||||
@@ -27,73 +32,31 @@ jobs:
|
||||
channels: robostack-staging,conda-forge,uni-lab
|
||||
channel-priority: flexible
|
||||
activate-environment: check-env
|
||||
auto-activate-base: false
|
||||
auto-update-conda: false
|
||||
show-channel-urls: true
|
||||
|
||||
- name: Install ROS dependencies and unilabos-msgs
|
||||
- name: Install ROS dependencies, uv and unilabos-msgs
|
||||
run: |
|
||||
# Install all packages together for proper dependency resolution
|
||||
# Use mamba for faster and more reliable solving
|
||||
mamba install -n check-env \
|
||||
python=3.11.14 \
|
||||
robostack-staging::ros-humble-ros-core \
|
||||
robostack-staging::ros-humble-action-msgs \
|
||||
robostack-staging::ros-humble-std-msgs \
|
||||
robostack-staging::ros-humble-geometry-msgs \
|
||||
robostack-staging::ros-humble-control-msgs \
|
||||
robostack-staging::ros-humble-nav2-msgs \
|
||||
uni-lab::ros-humble-unilabos-msgs \
|
||||
robostack-staging::ros-humble-cv-bridge \
|
||||
robostack-staging::ros-humble-vision-opencv \
|
||||
robostack-staging::ros-humble-tf-transformations \
|
||||
robostack-staging::ros-humble-moveit-msgs \
|
||||
robostack-staging::ros-humble-tf2-ros \
|
||||
robostack-staging::ros-humble-tf2-ros-py \
|
||||
conda-forge::transforms3d \
|
||||
-c robostack-staging -c conda-forge -c uni-lab -y
|
||||
echo Installing ROS dependencies...
|
||||
mamba install -n check-env conda-forge::uv conda-forge::opencv robostack-staging::ros-humble-ros-core robostack-staging::ros-humble-action-msgs robostack-staging::ros-humble-std-msgs robostack-staging::ros-humble-geometry-msgs robostack-staging::ros-humble-control-msgs robostack-staging::ros-humble-nav2-msgs uni-lab::ros-humble-unilabos-msgs robostack-staging::ros-humble-cv-bridge robostack-staging::ros-humble-vision-opencv robostack-staging::ros-humble-tf-transformations robostack-staging::ros-humble-moveit-msgs robostack-staging::ros-humble-tf2-ros robostack-staging::ros-humble-tf2-ros-py conda-forge::transforms3d -c robostack-staging -c conda-forge -c uni-lab -y
|
||||
|
||||
- name: Install pip dependencies and unilabos
|
||||
run: |
|
||||
# Activate the environment
|
||||
conda activate check-env
|
||||
|
||||
# Core dependencies for devices
|
||||
pip install uv
|
||||
uv pip install networkx \
|
||||
typing_extensions \
|
||||
websockets \
|
||||
msgcenterpy \
|
||||
opentrons_shared_data \
|
||||
pint \
|
||||
fastapi \
|
||||
jinja2 \
|
||||
requests \
|
||||
uvicorn \
|
||||
git+https://github.com/Xuwznln/pylabrobot.git \
|
||||
opencv-python \
|
||||
pyautogui \
|
||||
opcua \
|
||||
pyserial \
|
||||
pandas \
|
||||
crcmod-plus \
|
||||
pymodbus \
|
||||
pywinauto_recorder \
|
||||
matplotlib \
|
||||
|
||||
|
||||
# PyLabRobot (custom fork)
|
||||
pip install
|
||||
|
||||
# Install unilabos in editable mode
|
||||
pip install -e .
|
||||
call conda activate check-env
|
||||
echo Installing pip dependencies...
|
||||
uv pip install -r unilabos/utils/requirements.txt
|
||||
uv pip install pywinauto git+https://github.com/Xuwznln/pylabrobot.git
|
||||
uv pip uninstall enum34 || echo enum34 not installed, skipping
|
||||
uv pip install .
|
||||
|
||||
- name: Run check mode (complete_registry)
|
||||
run: |
|
||||
conda activate check-env
|
||||
call conda activate check-env
|
||||
echo Running check mode...
|
||||
python -m unilabos --check_mode --skip_env_check
|
||||
|
||||
- name: Check for uncommitted changes
|
||||
shell: bash
|
||||
run: |
|
||||
if ! git diff --exit-code; then
|
||||
echo "::error::检测到文件变化!请先在本地运行 'python -m unilabos --complete_registry' 并提交变更"
|
||||
|
||||
43
.github/workflows/conda-pack-build.yml
vendored
43
.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...
|
||||
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
echo Build full: ${{ github.event.inputs.build_full }}
|
||||
if "${{ github.event.inputs.build_full }}"=="true" (
|
||||
echo Installing unilabos-full ^(complete package^)...
|
||||
mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
) else (
|
||||
echo Installing unilabos ^(minimal package^)...
|
||||
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
)
|
||||
|
||||
- name: Install conda-pack, unilabos and dependencies (Unix)
|
||||
if: steps.should_build.outputs.should_build == 'true' && matrix.platform != 'win-64'
|
||||
@@ -89,7 +101,14 @@ jobs:
|
||||
run: |
|
||||
echo "Installing unilabos and dependencies to unilab environment..."
|
||||
echo "Using mamba for faster and more reliable dependency resolution..."
|
||||
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
echo "Build full: ${{ github.event.inputs.build_full }}"
|
||||
if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
|
||||
echo "Installing unilabos-full (complete package)..."
|
||||
mamba install -n unilab uni-lab::unilabos-full conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
else
|
||||
echo "Installing unilabos (minimal package)..."
|
||||
mamba install -n unilab uni-lab::unilabos conda-pack -c uni-lab -c robostack-staging -c conda-forge -y
|
||||
fi
|
||||
|
||||
- name: Get latest ros-humble-unilabos-msgs version (Windows)
|
||||
if: steps.should_build.outputs.should_build == 'true' && matrix.platform == 'win-64'
|
||||
@@ -293,7 +312,7 @@ jobs:
|
||||
|
||||
- name: Upload distribution package
|
||||
if: steps.should_build.outputs.should_build == 'true'
|
||||
uses: actions/upload-artifact@v4
|
||||
uses: actions/upload-artifact@v6
|
||||
with:
|
||||
name: unilab-pack-${{ matrix.platform }}-${{ github.event.inputs.branch }}
|
||||
path: dist-package/
|
||||
@@ -308,7 +327,12 @@ jobs:
|
||||
echo ==========================================
|
||||
echo Platform: ${{ matrix.platform }}
|
||||
echo Branch: ${{ github.event.inputs.branch }}
|
||||
echo Python version: 3.11.11
|
||||
echo Python version: 3.11.14
|
||||
if "${{ github.event.inputs.build_full }}"=="true" (
|
||||
echo Package: unilabos-full ^(complete^)
|
||||
) else (
|
||||
echo Package: unilabos ^(minimal^)
|
||||
)
|
||||
echo.
|
||||
echo Distribution package contents:
|
||||
dir dist-package
|
||||
@@ -328,7 +352,12 @@ jobs:
|
||||
echo "=========================================="
|
||||
echo "Platform: ${{ matrix.platform }}"
|
||||
echo "Branch: ${{ github.event.inputs.branch }}"
|
||||
echo "Python version: 3.11.11"
|
||||
echo "Python version: 3.11.14"
|
||||
if [[ "${{ github.event.inputs.build_full }}" == "true" ]]; then
|
||||
echo "Package: unilabos-full (complete)"
|
||||
else
|
||||
echo "Package: unilabos (minimal)"
|
||||
fi
|
||||
echo ""
|
||||
echo "Distribution package contents:"
|
||||
ls -lh dist-package/
|
||||
|
||||
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
|
||||
@@ -768,7 +791,43 @@ 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 +836,7 @@ 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 +873,7 @@ 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 +904,7 @@ 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 +919,7 @@ 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 +1060,7 @@ 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:
|
||||
|
||||
|
||||
@@ -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: 0.10.16
|
||||
version: 0.10.17
|
||||
source:
|
||||
path: ../../unilabos_msgs
|
||||
target_directory: src
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
package:
|
||||
name: unilabos
|
||||
version: "0.10.16"
|
||||
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='0.10.16',
|
||||
version='0.10.17',
|
||||
packages=find_packages(),
|
||||
include_package_data=True,
|
||||
install_requires=['setuptools'],
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.10.16"
|
||||
__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
|
||||
@@ -217,7 +216,10 @@ def main():
|
||||
args_dict = vars(args)
|
||||
|
||||
# 环境检查 - 检查并自动安装必需的包 (可选)
|
||||
if not args_dict.get("skip_env_check", False):
|
||||
skip_env_check = args_dict.get("skip_env_check", False)
|
||||
check_mode = args_dict.get("check_mode", False)
|
||||
|
||||
if not skip_env_check:
|
||||
from unilabos.utils.environment_check import check_environment
|
||||
|
||||
if not check_environment(auto_install=True):
|
||||
@@ -228,7 +230,21 @@ def main():
|
||||
|
||||
# 加载配置文件,优先加载config,然后从env读取
|
||||
config_path = args_dict.get("config")
|
||||
if os.getcwd().endswith("unilabos_data"):
|
||||
|
||||
if check_mode:
|
||||
args_dict["working_dir"] = os.path.abspath(os.getcwd())
|
||||
# 当 skip_env_check 时,默认使用当前目录作为 working_dir
|
||||
if skip_env_check and not args_dict.get("working_dir") and not config_path:
|
||||
working_dir = os.path.abspath(os.getcwd())
|
||||
print_status(f"跳过环境检查模式:使用当前目录作为工作目录 {working_dir}", "info")
|
||||
# 检查当前目录是否有 local_config.py
|
||||
local_config_in_cwd = os.path.join(working_dir, "local_config.py")
|
||||
if os.path.exists(local_config_in_cwd):
|
||||
config_path = local_config_in_cwd
|
||||
print_status(f"发现本地配置文件: {config_path}", "info")
|
||||
else:
|
||||
print_status(f"未指定config路径,可通过 --config 传入 local_config.py 文件路径", "info")
|
||||
elif os.getcwd().endswith("unilabos_data"):
|
||||
working_dir = os.path.abspath(os.getcwd())
|
||||
else:
|
||||
working_dir = os.path.abspath(os.path.join(os.getcwd(), "unilabos_data"))
|
||||
@@ -247,7 +263,7 @@ def main():
|
||||
working_dir = os.path.dirname(config_path)
|
||||
elif os.path.exists(working_dir) and os.path.exists(os.path.join(working_dir, "local_config.py")):
|
||||
config_path = os.path.join(working_dir, "local_config.py")
|
||||
elif not config_path and (
|
||||
elif not skip_env_check and not config_path and (
|
||||
not os.path.exists(working_dir) or not os.path.exists(os.path.join(working_dir, "local_config.py"))
|
||||
):
|
||||
print_status(f"未指定config路径,可通过 --config 传入 local_config.py 文件路径", "info")
|
||||
@@ -261,9 +277,11 @@ def main():
|
||||
print_status(f"已创建 local_config.py 路径: {config_path}", "info")
|
||||
else:
|
||||
os._exit(1)
|
||||
# 加载配置文件
|
||||
|
||||
# 加载配置文件 (check_mode 跳过)
|
||||
print_status(f"当前工作目录为 {working_dir}", "info")
|
||||
load_config_from_file(config_path)
|
||||
if not check_mode:
|
||||
load_config_from_file(config_path)
|
||||
|
||||
# 根据配置重新设置日志级别
|
||||
from unilabos.utils.log import configure_logger, logger
|
||||
@@ -319,12 +337,7 @@ def main():
|
||||
machine_name = "".join([c if c.isalnum() or c == "_" else "_" for c in machine_name])
|
||||
BasicConfig.machine_name = machine_name
|
||||
BasicConfig.vis_2d_enable = args_dict["2d_vis"]
|
||||
|
||||
# Check mode 处理
|
||||
check_mode = args_dict.get("check_mode", False)
|
||||
BasicConfig.check_mode = check_mode
|
||||
if check_mode:
|
||||
print_status("Check mode 启用,将进行 complete_registry 检查", "info")
|
||||
|
||||
from unilabos.resources.graphio import (
|
||||
read_node_link_json,
|
||||
|
||||
@@ -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
|
||||
|
||||
|
||||
0
unilabos/devices/Qone_nmr/__init__.py
Normal file
0
unilabos/devices/Qone_nmr/__init__.py
Normal file
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
@@ -9745,21 +9745,21 @@ liquid_handler.prcxi:
|
||||
- 0
|
||||
handles:
|
||||
input:
|
||||
- data_key: liquid
|
||||
- data_key: sources
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: sources
|
||||
label: sources
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
handler_key: sources_identifier
|
||||
label: 待移动液体
|
||||
- data_key: targets
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: targets
|
||||
label: targets
|
||||
- data_key: liquid
|
||||
data_source: executor
|
||||
handler_key: targets_identifier
|
||||
label: 转移目标
|
||||
- data_key: tip_rack
|
||||
data_source: handle
|
||||
data_type: resource
|
||||
handler_key: tip_rack
|
||||
label: tip_rack
|
||||
handler_key: tip_rack_identifier
|
||||
label: 墙头盒
|
||||
output:
|
||||
- data_key: liquid
|
||||
data_source: handle
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -163,6 +163,7 @@ class Registry:
|
||||
"res_id": "unilabos_resources", # 将当前实验室的全部物料id作为下拉框可选择
|
||||
"device_id": "unilabos_devices", # 将当前实验室的全部设备id作为下拉框可选择
|
||||
"parent": "unilabos_nodes", # 将当前实验室的设备/物料作为下拉框可选择
|
||||
"class_name": "unilabos_class",
|
||||
},
|
||||
},
|
||||
"test_latency": {
|
||||
|
||||
@@ -597,6 +597,8 @@ 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]
|
||||
|
||||
@@ -1319,19 +1319,32 @@ class BaseROS2DeviceNode(Node, Generic[T]):
|
||||
resource_inputs = action_kwargs[k] if is_sequence else [action_kwargs[k]]
|
||||
|
||||
# 批量查询资源
|
||||
queried_resources = []
|
||||
for resource_data in resource_inputs:
|
||||
queried_resources: list = [None] * len(resource_inputs)
|
||||
uuid_indices: list[tuple[int, str, dict]] = [] # (index, uuid, resource_data)
|
||||
|
||||
# 第一遍:处理没有uuid的资源,收集有uuid的资源信息
|
||||
for idx, resource_data in enumerate(resource_inputs):
|
||||
unilabos_uuid = resource_data.get("data", {}).get("unilabos_uuid")
|
||||
if unilabos_uuid is None:
|
||||
plr_resource = await self.get_resource_with_dir(
|
||||
resource_id=resource_data["id"], with_children=True
|
||||
)
|
||||
if "sample_id" in resource_data:
|
||||
plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
|
||||
queried_resources[idx] = plr_resource
|
||||
else:
|
||||
resource_tree = await self.get_resource([unilabos_uuid])
|
||||
plr_resource = resource_tree.to_plr_resources()[0]
|
||||
if "sample_id" in resource_data:
|
||||
plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
|
||||
queried_resources.append(plr_resource)
|
||||
uuid_indices.append((idx, unilabos_uuid, resource_data))
|
||||
|
||||
# 第二遍:批量查询有uuid的资源
|
||||
if uuid_indices:
|
||||
uuids = [item[1] for item in uuid_indices]
|
||||
resource_tree = await self.get_resource(uuids)
|
||||
plr_resources = resource_tree.to_plr_resources()
|
||||
for i, (idx, _, resource_data) in enumerate(uuid_indices):
|
||||
plr_resource = plr_resources[i]
|
||||
if "sample_id" in resource_data:
|
||||
plr_resource.unilabos_extra["sample_uuid"] = resource_data["sample_id"]
|
||||
queried_resources[idx] = plr_resource
|
||||
|
||||
self.lab_logger().debug(f"资源查询结果: 共 {len(queried_resources)} 个资源")
|
||||
|
||||
|
||||
@@ -808,6 +808,7 @@ class HostNode(BaseROS2DeviceNode):
|
||||
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}: {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))
|
||||
|
||||
@@ -1,187 +0,0 @@
|
||||
# UniLabOS 日志配置说明
|
||||
|
||||
> **文件位置**: `unilabos/utils/log.py`
|
||||
> **最后更新**: 2026-01-11
|
||||
> **维护者**: Uni-Lab-OS 开发团队
|
||||
|
||||
本文档说明 UniLabOS 日志系统中对第三方库和内部模块的日志级别配置,避免控制台被过多的 DEBUG 日志淹没。
|
||||
|
||||
---
|
||||
|
||||
## 📋 已屏蔽的日志
|
||||
|
||||
以下库/模块的日志已被设置为 **WARNING** 或 **INFO** 级别,不再显示 DEBUG 日志:
|
||||
|
||||
### 1. pymodbus(Modbus 通信库)
|
||||
|
||||
**配置位置**: `log.py` 第196-200行
|
||||
|
||||
```python
|
||||
# pymodbus 库的日志太详细,设置为 WARNING
|
||||
logging.getLogger('pymodbus').setLevel(logging.WARNING)
|
||||
logging.getLogger('pymodbus.logging').setLevel(logging.WARNING)
|
||||
logging.getLogger('pymodbus.logging.base').setLevel(logging.WARNING)
|
||||
logging.getLogger('pymodbus.logging.decoders').setLevel(logging.WARNING)
|
||||
```
|
||||
|
||||
**屏蔽原因**:
|
||||
- pymodbus 在 DEBUG 级别会输出每一次 Modbus 通信的详细信息
|
||||
- 包括 `Processing: 0x5 0x1e 0x0 0x0...` 等原始数据
|
||||
- 包括 `decoded PDU function_code(3 sub -1) -> ReadHoldingRegistersResponse(...)` 等解码信息
|
||||
- 这些信息对日常使用价值不大,但会快速刷屏
|
||||
|
||||
**典型被屏蔽的日志**:
|
||||
```
|
||||
[DEBUG] Processing: 0x5 0x1e 0x0 0x0 0x0 0x7 0x1 0x3 0x4 0x0 0x0 0x0 0x0 [handleFrame:72] [pymodbus.logging.base]
|
||||
[DEBUG] decoded PDU function_code(3 sub -1) -> ReadHoldingRegistersResponse(...) [decode:79] [pymodbus.logging.decoders]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 2. websockets(WebSocket 库)
|
||||
|
||||
**配置位置**: `log.py` 第202-205行
|
||||
|
||||
```python
|
||||
# websockets 库的日志输出较多,设置为 WARNING
|
||||
logging.getLogger('websockets').setLevel(logging.WARNING)
|
||||
logging.getLogger('websockets.client').setLevel(logging.WARNING)
|
||||
logging.getLogger('websockets.server').setLevel(logging.WARNING)
|
||||
```
|
||||
|
||||
**屏蔽原因**:
|
||||
- WebSocket 连接、断开、心跳等信息在 DEBUG 级别会频繁输出
|
||||
- 对于长时间运行的服务,这些日志意义不大
|
||||
|
||||
---
|
||||
|
||||
### 3. ROS Host Node(设备状态更新)
|
||||
|
||||
**配置位置**: `log.py` 第207-208行
|
||||
|
||||
```python
|
||||
# ROS 节点的状态更新日志过于频繁,设置为 INFO
|
||||
logging.getLogger('unilabos.ros.nodes.presets.host_node').setLevel(logging.INFO)
|
||||
```
|
||||
|
||||
**屏蔽原因**:
|
||||
- 设备状态更新(如手套箱压力)每隔几秒就会更新一次
|
||||
- DEBUG 日志会记录每一次状态变化,导致日志刷屏
|
||||
- 这些频繁的状态更新对调试价值不大
|
||||
|
||||
**典型被屏蔽的日志**:
|
||||
```
|
||||
[DEBUG] [/devices/host_node] Status updated: BatteryStation.data_glove_box_pressure = 4.229457855224609 [property_callback:666] [unilabos.ros.nodes.presets.host_node]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
### 4. asyncio 和 urllib3
|
||||
|
||||
**配置位置**: `log.py` 第224-225行
|
||||
|
||||
```python
|
||||
logging.getLogger("asyncio").setLevel(logging.INFO)
|
||||
logging.getLogger("urllib3").setLevel(logging.INFO)
|
||||
```
|
||||
|
||||
**屏蔽原因**:
|
||||
- asyncio: 异步 IO 的内部调试信息
|
||||
- urllib3: HTTP 请求库的连接池、重试等详细信息
|
||||
|
||||
---
|
||||
|
||||
## 🔧 如何临时启用这些日志(调试用)
|
||||
|
||||
### 方法1: 修改 log.py(永久启用)
|
||||
|
||||
在 `log.py` 的 `configure_logger()` 函数中,将对应库的日志级别改为 `logging.DEBUG`:
|
||||
|
||||
```python
|
||||
# 临时启用 pymodbus 的 DEBUG 日志
|
||||
logging.getLogger('pymodbus').setLevel(logging.DEBUG)
|
||||
logging.getLogger('pymodbus.logging').setLevel(logging.DEBUG)
|
||||
logging.getLogger('pymodbus.logging.base').setLevel(logging.DEBUG)
|
||||
logging.getLogger('pymodbus.logging.decoders').setLevel(logging.DEBUG)
|
||||
```
|
||||
|
||||
### 方法2: 在代码中临时启用(单次调试)
|
||||
|
||||
在需要调试的代码文件中添加:
|
||||
|
||||
```python
|
||||
import logging
|
||||
|
||||
# 临时启用 pymodbus DEBUG 日志
|
||||
logging.getLogger('pymodbus').setLevel(logging.DEBUG)
|
||||
|
||||
# 你的 Modbus 调试代码
|
||||
...
|
||||
|
||||
# 调试完成后恢复
|
||||
logging.getLogger('pymodbus').setLevel(logging.WARNING)
|
||||
```
|
||||
|
||||
### 方法3: 使用环境变量或配置文件(推荐)
|
||||
|
||||
未来可以考虑在启动参数中添加 `--debug-modbus` 等选项来动态控制。
|
||||
|
||||
---
|
||||
|
||||
## 📊 日志级别说明
|
||||
|
||||
| 级别 | 数值 | 用途 | 是否显示 |
|
||||
|------|------|------|---------|
|
||||
| TRACE | 5 | 最详细的跟踪信息 | ✅ |
|
||||
| DEBUG | 10 | 调试信息 | ✅ |
|
||||
| INFO | 20 | 一般信息 | ✅ |
|
||||
| WARNING | 30 | 警告信息 | ✅ |
|
||||
| ERROR | 40 | 错误信息 | ✅ |
|
||||
| CRITICAL | 50 | 严重错误 | ✅ |
|
||||
|
||||
**当前配置**:
|
||||
- UniLabOS 自身代码: DEBUG 及以上全部显示
|
||||
- pymodbus/websockets: **WARNING** 及以上显示(屏蔽 DEBUG/INFO)
|
||||
- ROS host_node: **INFO** 及以上显示(屏蔽 DEBUG)
|
||||
|
||||
---
|
||||
|
||||
## ⚠️ 重要提示
|
||||
|
||||
### 修改生效时间
|
||||
- 修改 `log.py` 后需要 **重启 unilab 服务** 才能生效
|
||||
- 不需要重新安装或重新编译
|
||||
|
||||
### 调试 Modbus 通信问题
|
||||
如果需要调试 Modbus 通信故障,应该:
|
||||
1. 临时启用 pymodbus DEBUG 日志(方法2)
|
||||
2. 复现问题
|
||||
3. 查看详细的通信日志
|
||||
4. 调试完成后记得恢复 WARNING 级别
|
||||
|
||||
### 调试设备状态问题
|
||||
如果需要调试设备状态更新问题:
|
||||
```python
|
||||
logging.getLogger('unilabos.ros.nodes.presets.host_node').setLevel(logging.DEBUG)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📝 维护记录
|
||||
|
||||
| 日期 | 修改内容 | 操作人 |
|
||||
|------|---------|--------|
|
||||
| 2026-01-11 | 初始创建,添加 pymodbus、websockets、ROS host_node 屏蔽 | - |
|
||||
| 2026-01-07 | 添加 pymodbus 和 websockets 屏蔽(log-0107.py) | - |
|
||||
|
||||
---
|
||||
|
||||
## 🔗 相关文件
|
||||
|
||||
- `log.py` - 日志配置主文件
|
||||
- `unilabos/devices/workstation/coin_cell_assembly/` - 使用 Modbus 的扣电工作站代码
|
||||
- `unilabos/ros/nodes/presets/host_node.py` - ROS 主机节点代码
|
||||
|
||||
---
|
||||
|
||||
**维护提示**: 如果添加了新的第三方库或发现新的日志刷屏问题,请在此文档中记录并更新 `log.py` 配置。
|
||||
@@ -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
|
||||
@@ -2,7 +2,7 @@
|
||||
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
|
||||
<package format="3">
|
||||
<name>unilabos_msgs</name>
|
||||
<version>0.10.16</version>
|
||||
<version>0.10.17</version>
|
||||
<description>ROS2 Messages package for unilabos devices</description>
|
||||
<maintainer email="changjh@pku.edu.cn">Junhan Chang</maintainer>
|
||||
<maintainer email="18435084+Xuwznln@users.noreply.github.com">Xuwznln</maintainer>
|
||||
|
||||
Reference in New Issue
Block a user