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DEVELOPMENT.md

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Tips for developers

It's dangerous to go alone. Take these tips in case you need to fit Indico to your particular needs.

Initializing the database

Use indico db prepare to create your tables based on the SQLAlchemy models and set the migration status to the most recent alembic revision.

SQL Database migrations

Whenever you modify the database structure or want to perform data migrations, create an alembic revision. To do so, use indico db revision -m 'short explanation'; optionally you may specify --autogenerate to let Alembic compare your SQLAlchemy models with your database and generate migrations automatically. However, this is not 100% reliable and for example functional indexes will always show up as "new". So if you use autogeneration, always check the generated migration steps and modify them if necessary. Especially if you've already applied your change to the database manually or let SQLAlchemy create your new table you need to write the migration for it manually or DROP the table again so Alembic knows it's new.

To perform the actual migration of the database, run indico db upgrade or indico db downgrade. Migration should always be possible in both directions, so when writing a migration step make sure to test it and to implement both directions for structure and data even if that means dropping columns or tables. Losing data during a downgrade is acceptable as long as it's data that didn't exist before that revision. Please make sure to TEST migration in both directions!

When adding a new column that is not nullable, you need to add it in two steps: First create it with a server_default value set to whatever default value you want. Afterwards, use the alter_column operation to remove the default value. While keeping it would not hurt, it's better to stay in sync with the SQLAlchemy model!

Writing models

When writing/changing models or alembic revisions, run python bin/maintenance/update_backrefs.py to keep comments about relationship backrefs in sync and python bin/utils/db_diff.py to compare the models against your current database both to ensure your alembic revision is correct and that your own database is up to date.