AutoDQM parses DQM histograms and identifies outliers by various statistical tests for further analysis by the user. Its output can be easily parsed by eye on an AutoPlotter-based html page which is automatically generated when you submit a query from the AutoDQM GUI. Full documentation for AutoDQM can be found on our wiki.
AutoDQM.py
- [x] Outputs histograms that clearly highlight outliers
- [x] Creates a .txt file along with each .pdf with relevant information on it
- [x] Allows user to easily change input
- [x] Seeks and accurately finds outliers
index.php
- [x] Previews input in a readable way
- [x] Gives a clear indication of the status of a user's query
plots.php
- [x] Dynamically displays text files below AutoPlotter toolbar
- [x] Unique url's for sharing plots pages with the data and reference data set names
This shows how to set up AutoDQM to be served from your local machine or a machine on CERN OpenStack. This was written based on a fresh CC7 VM on CERN OpenStack.
You'll need a CERN User/Host certificate authorized with the CMS VO. CMS VO authorization can take ~8 hours so bear that in mind. Certificates can be aquired either from https://cern.ch/ca or, on a CC7 machine, by using auto-enrollment https://ca.cern.ch/ca/Help/?kbid=024000.
Install docker according to https://docs.docker.com/install/ and docker-compose through pip because CC7 has an old versions in it's repositories. Enable+start the docker service, and be sure to add your user to the docker group.
sudo yum-config-manager \
--add-repo \
https://download.docker.com/linux/centos/docker-ce.repo
sudo yum install docker-ce -y
sudo yum install python-pip -y
sudo pip install docker-compose
sudo gpasswd -a [user] docker
sudo systemctl enable --now docker
You may need to relog into your account before the group settings take effect.
Store your CERN certificate into docker secrets. You may need to extract your cert from PKCS12 format:
openssl pkcs12 -in cern-cert.p12 -out cern-cert.public.pem -clcerts -nokeys
openssl pkcs12 -in cern-cert.p12 -out cern-cert.private.key -nocerts -nodes
docker swarm init
docker secret create cmsvo-cert.pem cern-cert.public.pem
docker secret create cmsvo-cert.key cern-cert.private.key
Then initialize a docker swarm, build the autodqm image with docker-compose, and deploy the image as a docker stack
docker-compose build
docker stack deploy --compose-file=./docker-compose.yml autodqm
You can now view AutoDQM at http://127.0.0.1
. If you would like to
make your instance of AutoDQM public, oopen port 80 to http traffic on
your firewall. For example, on CC7:
sudo firewall-cmd --permanent --add-port=80/tcp
sudo firewall-cmd --reload
After making changes to configuration or source code, rebuild and redeploy the newly built image:
docker-compose build
docker stack rm autodqm
docker stack deploy --compose-file=./docker-compose.yml autodqm
If you're using a CC7 image, you may want to disable autoupdate:
sudo systemctl stop yum-autoupdate.service
sudo systemctl disable yum-autoupdate.service
The ./run-offline.py
script can retrieve run data files and process
them without needing a web server. Run ./run-offline.py --help
for
all the options.
- Supply certificate files to the environment variables below. Alternatively, the default uses the files produced when running voms-proxy-init, so that may work instead.
- Use
./run-offline.py
to process data with AutoDQM
ADQM_CONFIG
location of the configuration file to useADQM_DB
location to store downloaded root files from offline DQMADQM_TMP
location to store generated temporary pdfs, pngs, etcADQM_SSLCERT
location of CMS VO authorized public key certificate to use in querying offline DQMADQM_SSLKEY
location of CMS VO authorized private ky to use in querying offline DQMADQM_CACERT
location of a CERN Grid CA certificate chain, if needed