Upgrading Tabbycat

Generally only want to upgrade copies of tab sites that are used on an ongoing basis for multiple tournaments, or if there is a bugfix release between when you setup your site and when the tournament is running.

Note

Going from any version of Tabbycat 1 to any version of Tabbycat 2 has a more complicated upgrade process.

Upgrading a Local Copy

Assuming you haven’t made any changes to the Tabbycat code, upgrading a locally installed copy should just be a matter of downloading the latest source code and replacing the existing files with the new ones. If you used git to download these files initially you can just pull down the latest copy of the master branch to do this.

You would then repeat the “Install Tabbycat” instructions for your original installation method.

Upgrading on Heroku

The easiest way to upgrade a Heroku site is to create an account on Github and then to ‘fork’ the Tabbycat repository.

Once you have done this you can login to your Heroku Dashboard, go to your app, and then navigate to the Deploy tab. In this tab, adjacent to Deployment method select the GitHub option. This will bring up a new ‘Connect to GitHub’ section where you can search for ‘Tabbycat’ to find the copy of the repository you made earlier and connect it.

../_images/deploying.png

Once connected a new Manual deploy section will appear. Make sure you select the master branch (not develop) and then click Deploy Branch. This will then show the app deploying and notify you when it has finished; which may take several minutes.

Upgrading from version 1 to version 2

Tabbycat instances running 1.x cannot be upgraded to 2.0 using a simple migration. This is because all the migrations were regenerated in order to reduce how many there are. If you try to migrate an existing 1.x instance, it will fail with an InconsistentMigrationHistory error.

To upgrade, checkout the bea58288980eaf74e213d742b58e039167ed4379 commit (which is before the migration deletion), delete the migration history using TRUNCATE django_migrations; in PostgreSQL, and then fake all the migrations using dj migrate --fake. Afterwards, you can checkout master and run the newer migrations with dj migrate.

Needless to say, this should only be done with extreme caution and copious backups.