nwb_streaming

## set up env via bash:
conda create -n stream_nwb -c conda-forge -y python=3.7 hdf5=1.12.0 jupyter pip
conda activate stream_nwb
pip install nwbwidgets
pip install git+https://github.com/NeurodataWithoutBorders/pynwb
pip install git+https://github.com/hdmf-dev/hdmf
git clone https://github.com/satra/h5py.git
cd h5py
HDF5_DIR=~/Users/bendichter/opt/anaconda3/envs/stream_nwb/ pip install --force-reinstall --no-binary=h5py .


## test out streaming
from pynwb import NWBHDF5IO
from nwbwidgets import nwb2widget
import requests

def get_s3_url(url):
    s3_url = requests.request(url=url, method='head').url
    return s3_url[:s3_url.index('?')]

path = "https://dandiarchive.s3.amazonaws.com/girder-assetstore/58/07/58074d0a5a4a4086afebb4d29912c419"

io = NWBHDF5IO(get_s3_url(url), mode='r', load_namespaces=True, driver='ros3')
nwb = io.read()
nwb2widget(nwb)

you shouldn't change to yes manually. it reflects the hdf5 version that is installed. so if it says no, then your hdf5 library doesn't have the driver enabled. it means probably an incorrect install from conda-forge.

I can reproduce the problem on my windows machine, with both conda-forge installation and manual installation of hdf5.
Seems to be a problem specific to windows. I found this, it might help (search for Windows): https://support.hdfgroup.org/ftp/HDF5/releases/hdf5-1.12/hdf5-1.12.0/src/hdf5-1.12.0-RELEASE.txt

we managed to make it work on a Binder deployment, if anyone is interested: https://github.com/catalystneuro/binder-nwb-stream

you may want to file an issue on conda-forge for hdf5-feedstock, if it is not being compiled on windows with ROS3 VFD support.