bcs-api

Overview: Combining LabView BCS with Bluesky

BCS Single Motor Scan

This notebook demonstrates how the LabView Beamline Control System API can be used to implement a "Single Motor Scan" as an ophyd device. Furthermore, this "Single Motor Scan" device can be initiated by the bluesky Run Engine as a fly plan with data avaliable in a bluesky run document.

Open BCS-API_06_BlueskyFlying_M201Roll_BcszSync_nb.ipynb or BCS-API_06_BlueskyFlying_M201Roll_BcszSync_nb.html for details.

BCS Single Motor Flying Scan

This notebook demonstrates how the LabView Beamline Control System API can be used to implement a "Single Motor Flying Scan" as an ophyd device. Furthermore, this "Single Motor Flying Scan" device can be initiated by the bluesky Run Engine as a fly plan with data avaliable in a bluesky run document.

Open BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb.ipynb or BCS-API_07_BlueskyFlying_FlyingBeamlineEnergy_BcszSync_nb.html for details.

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Getting Started

1. Install conda
2. Configure conda environment
3. Install git
4. Configure git repository
   ...in a new/empty folder
5. Pull: Download repository to local folder
6. Push: Upload committed changes to server

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Install conda

• Miniconda

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Configure conda environment

Run the following commands on the command line; press 'Y'(es) when requested

conda create --name bluesky python=3.8
conda activate bluesky
conda install future
conda install -c conda-forge jupyterlab
conda install intake
conda install -c conda-forge caproto ophyd nodejs
conda update -c conda-forge pip setuptools numpy
conda install git scikit-image

Then install the following bluesky requirements, per bluesky-tutorial instructions

# Download tutorial notebooks, requirements, utilities
git clone https://github.com/bluesky/tutorials
cd tutorials

# Install required packages
python -m pip install -r binder/requirements.txt
python -m pip install -e ./bluesky-tutorial-utils  # MUST use -e here

# Install extension that supports '%matplotlib widget'.
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib

If you get errors regarding "cannot import name 'Blosc' from 'numcodecs'", you might need to (re)install zarr

conda install git zarr

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Install git

on Windows

Installation guide
Download git for windows

on Mac OS X

Installation guide
Git is probably already installed on your computer. Try typing the following command in a Terminal window.

git --version

on Linux

Installation guide

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Configure a git repository on your computer

In a folder with existing files

The following commands will:

• initialize a local git repository,
• create a branch of that repository that is dedicated to your local folder contents,
• add all files/subfolders to the repository,
• upload a copy of your files to a remote repository

cd <LOCAL-PROJECT-FOLDER>
git init
git config user.name "<YOUR-NAME>"
git config user.email <YOUR-EMAIL>
git remote add origin https://<GITHUB-USER-NAME>@github.com/als-computing/bcs-api.git
git checkout <EXISTING-BRANCH-NAME>

Example:

cd "/C/experiments/Beamline Commissioning/BCS-API/" 
git init
git config user.name "Ernest O. Lawrence"
git config user.email [email protected]
git remote add origin https://[email protected]/als-computing/bcs-api.git
git checkout feature0002/configure-devices

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Download remote repository to your local folder

cd <LOCAL-PROJECT-FOLDER>
git pull

Example:

cd "/C/experiments/Beamline Commissioning/BCS-API/" 
git pull

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Push: Upload committed changes to server

Make changes on a NEW branch; push to remote repository

git checkout -b <BRANCH-NAME>
# Edit and save files
git add .
git commit -m "<COMMIT-MESSAGE>"
git push -u origin <BRANCH-NAME>

Example:

git checkout -b feature0003/backlash-control
# Edit and save files
git add .
git commit -m "Added implicit backlash control to motors"
git push -u feature0003/backlash-control