Try new data access

instructions.md

Obtain an SDDC account

Form

Log into to the SDCC NSLS-II JupyterHub

https://jupyter.sdcc.bnl.gov/jupyterhub/nsls

Create a new Jupyter kernel with databroker 1.0.0 (pre-release)

Open a new Termainal in Jupyter, and type or paste:

export MY_ENV=test-databroker
mkdir -p ~/venv
python -m venv ~/venv/$MY_ENV
source ~/venv/$MY_ENV/bin/activate
pip install wheel  # It's important to do this separately and first.
pip install ipykernel
pip install --pre databroker  # pre-released version of databroker 1.0.0
pip install matplotlib  # optional...anything you want

~/venv/$MY_ENV/bin/python -m ipykernel install --user --name $MY_ENV --display-name "DataBroker Test"

Go to File > Hub Control Panel and restart your server. This may not be necessary, but it's one way to ensure that the new kernel appears in your list of options.

Access and plot some data

Open a notebook and do this:

%matplotlib inline
import matplotlib.pyplot as plt
from intake import open_catalog

# There will soon be a slicker way to open the "default" catalog.
catalog = open_catalog('intake://broker', page_size=10)
list(catalog)  # Shows all your options---for now, just 'csx'.
csx = cat['csx']()

entry = csx['9b24c09f-ef87-4b43-af1c-e89c7e29751e']
run = entry()
run

for name, doc in run.canonical(fill='yes'):
    if name == 'event' and 'fccd_image' in doc['data']:
        break

plt.imshow(doc['data']['fccd_image'][0, ...])