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This page is a guide on how to deploy new version of ORES into the server.
So, your patches are merged into ores/revscoring/other dependencies. You need to increment the version number. Try to do that in a SemVer fashion. Like only upgrading the patch level (e.g. 0.5.8 -> 0.5.9). You need to do it in setup.py and __init__.py (and probably some other place too, use grep to check where the current version is used)
Then you need to push new version into PyPI using:
python setup.py sdist bdist_wheel upload
If you got GPG/PGP you can try adding sign to the list above to also sign the wheel and the sdist
If you are doing breaking changes to revscoring probably old model files won't work, so you need to rebuild models. Do it using Makefile in editquality & wikiclass repos. If a model changes substantially (new features, new algorithm, etc), make sure to increment the model versions in the Makefile too.
First, clone https://github.com/wiki-ai/ores-wmflabs-deploy:
git clone https://github.com/wiki-ai/ores-wmflabs-deploy
There is a file in ores-wmflabs-deploy called "requirements.txt". Update their version number and make wheels by making a virtualenv and installing everything in it:
virtualenv -p python3 tmp source tmp/bin/activate pip install --upgrade pip pip install wheel pip wheel -w wheels/ -r requirements.txt
It's critical to do this in an environment that will be binary-compatible with the production cluster. ores-misc-01.ores.eqiad.wmflabs is designed to do that. Don't forget to install C dependencies beforehand. Be careful if any kind of error happened.
Once wheels are ready, there is a repo in gerrit called wheels (in research/ores/wheels) we keep wheels and nltk data in it. You need to git clone, update wheels and make a patch:
git clone ssh://YOURUSERNAME@gerrit.wikimedia.org:29418/research/ores/wheels
Then, you need to copy new versions to wheels folder, delete old ones and make a new patch:
cd wheels git commit -m "New wheels for wiki-ai 1.2" -a git review -R
To rebuild the production wheels, use frozen-requirements.txt rather than requirements.txt.
After +2ing and being merged, you should update ores-wmflabs-deploy
cd ores-wmflabs-deploy git checkout -b wiki_ai_1.2 source tmp/bin/activate pip freeze | grep -v setuptools > frozen-requirements.txt cd submodules/wheels git pull cd ../.. git commit -m "Release wiki-ai 1.2" git push -f origin wiki_ai_1.2
After that you need to make a PR in github and once it's merged it's good to go!
If you want to deploy to prod as well (ores.wikimedia.org) you need to backport your commits in gerrit too (ewww). The gerrit repos are:
git clone ssh://YOURUSERNAME@gerrit.wikimedia.org:29418/mediawiki/services/ores
- "mediawiki/services/ores/deploy" for ores-wmflabs-deploy (note that these repos have diverged [FIXME: Mande?])
- "mediawiki/services/ores/editquality" for editquality
- "mediawiki/services/ores/wikiclass" for wikiclass
You need to log into each deploy server to deploy a new version using fabric or scap3, so make sure you have the required permissions.
We have a series of increasingly production-like environments available for smoke testing each release, please take the time to go through each step, labs staging -> beta -> production. There is also an automatic canary deployment during scap, which stops after pushing to scb1002 and gives you the opportunity to compare that server's health to its brethren's.
Read the logs
If something does go wrong, you'll want to read the diagnostic messages. See
app.log. Monitor the logs throughout each of these deployment stages, by going to the target server and running,
sudo tail -f /srv/log/ores/*.log
First, go to staging. Simply make your changes in the ores-wmflabs-deploy repo and do
fab stage (don't forget to log it in #wikimedia-cloud by typing this: "!log ores-staging deploying <HASH> into staging".
Then check ores-staging.wmflabs.org to see if everything is healthy. If so, you are good to go to the labs setup. Rebase the "deploy" branch onto master.
git checkout deploy git rebase origin/master git push -f origin deploy
If working as expected, deploy with "fab deploy_web" and then "fab deploy_celery". Once it's done, test ores.wmflabs.org to see if everything is working as expected.
- ssh deployment-tin.eqiad.wmflabs and cd /srv/deployment/ores/deploy
- git pull && git submodule update --init
- Record the NEWHASH at the top of git log -1
- Deploy with scap deploy -v "<relevant task -- e.g. T1234>" and check out if anything works as expected.
- Record the new revision (NEWHASH) and prepare a message to send to #wikimedia-cloud connect: "!log deployment-prep deploying ores <NEWHASH>"
Production cluster (ores.wikimedia.org)
You are doing a dangerous thing. Remember, breaking the site is extremely easy! Be careful in every step and try to have someone from the team and ops supervising you. Also remember, ORES is depending on a huge number of puppet configurations, check out if your change is compatible with puppet configs and change puppet configs if necessary.
- Prep work
We'll double check the hash that is deployed in case we need to revert and then update the code to current master.
ssh deployment.eqiad.wmnet. Then
- Record the latest revision (OLDHASH) with
git log -1(in case you needed to rollback)
- Update the deploy repository with
git pull && git submodule update --init
- Deploy to canary
Then you need to deploy it into a node to check if it works as expected. It's called canary node. Right now, it's scb1002.eqiad.wmnet.
- Run the deploy with
scap deploy -v "<relevant task -- e.g. T1234>". Do not hit "y" yet! You have just deployed to the canary server, please smoke test.
ssh scb1002.eqiad.wmnetand check the service internally by commanding
curl http://0.0.0.0:8081/v3/scores/testwiki/$(date +%s)
- It would be great if you test other aspects if you are changing them (e.g. test if it returns data if you are adding a new model).
- Continue deployment to prod
If everything works as expected, we're ready to continue.
- Deploy it fully by answering "y" to the scap prompt.
- If something went wrong, rollback with
scap deploy -v -r <OLDHASH>
- If everything looks OK, say "Victory! ORES deploy looks good" (or something like that) in #wikimedia-operations
- If something went wrong, rollback with