curation workflow automation and coordination

• find RRIDs in articles
• look them up in the SciCrunch resolver
• create Hypothesis annotations that anchor to the RRIDs and display lookup results

• Create a Hypothesis account which will post the annotations.
• Generate an api token at https://hypothes.is/profile/developer (must be logged in to see page).
• Create a group to store the annotations at https://hypothes.is/groups/new (must be logged in to see page).
• See Setup on amazon

Visit https://HOST:PORT/bookmarklet and follow the instructions.

Visit an article that contains RRIDs, click the bookmarklet

The found RRIDs are logged to the JavaScript console

The found RRIDs are logged to timestamped files, along with the text and html of the article that was scanned for RRIDs

As root.

layman -a tgbugs-overlay
emerge scibot
rc-config add scibot-bookmarklet default
vim /etc/conf.d/scibot-bookmarklet  # set username, group, api key, etc.
/etc/init.d/scibot-bookmarklet start

Set export PATH=~/.local/bin:${PATH} in ~/.bashrc

1. sudo apt-get install build-essential python3-dev libxml2-dev libxslt1-dev
2. sudo pip3 install --user pip pipenv
3. git clone https://github.com/SciCrunch/scibot.git
4. cd scibot && pipenv install
5. pipenv shell to get an environment with acess to all the required libraries.
6. Inside the pipenv shell (after following steps 6-10 below) you should be able to run commands like python scibot/export.py.

0. ssh in to the host that will serve the script
1. sudo yum install gcc libxml2 libxml2-devel libxslt libxslt-devel python36 python36-devel python36-pip
2. sudo alternatives --set python /usr/bin/python3.6
3. sudo pip install pipenv
4. git clone https://github.com/SciCrunch/scibot.git
5. cd scibot && python3.6 setup.py wheel && pipenv install dist/*.whl
6. export SCIBOT_USERNAME=someusername
7. export SCIBOT_GROUP=somegroupname
8. unset HISTFILE
9. export SCIBOT_API_TOKEN=sometoken
10. export SCIBOT_SYNC=somerandomnumber (e.g. run head -c 100 /dev/urandom | tr -dc 'a-zA-Z0-9' every time)
11. create a screen session
12. in the screen session run pipenv run scibot-server you should create a link to the log files folder in ~/scibot/
13. get letsencrypt certs using certbot, follow directions here (prefer standalone)
14. alternately if using a cert from another registrar you may need to bundle your certs cat my-cert.crt existing-bundle.crt > scicrunch.io.crt (see https://gist.github.com/bradmontgomery/6487319 for details)
15. before or after starting gunicorn you need to run sudo yum install nginx && sudo cp ~/scibot/nginx.conf /etc/nginx/nginx.conf && sudo service start nginx
16. run pipenv run scibot-sync in another screen (if run in a terminal with a different environment you need to run step 10 again first)

To set up scibot for development (for example if you want to run manual releases) 0. Install python3 and pip for your os (e.g. on macos use brew)

1. From your git folder run git clone https://github.com/tgbugs/scibot.git
2. pushd scibot
3. pip3 install --user -e . will install requirements and register the scibot folder under version control with python as the scibot module.
4. popd
5. scibot currently makes use of my version of some of the core hypothes.is code which is not available as a package, to install it run the following

git clone https://github.com/tgbugs/h.git
pushd h
git checkout flask-new-3
popd
echo "export PYTHONPATH=$(pwd)/h:${PYTHONPATH}" >> ~/.bashrc
# may need to be ~/.bash_profile depending on your system
source ~/.bashrc