This in a pretty huge change. At a high level we're adding the concept
of a 'contact' which is a person or organization that has zero or more
contact methods (email, phone). This ended up cascading a number of
changes, including critically to the publicreprt schema. In the end it
seemed safer to get to the point where I'm confident we aren't using any
of the old fields for storing reporter information (though I haven't
deleted the columns yet) so I removed the code for defining those
columns.
At this point I think it's not possible for me to regenerate the bob
schema due to the interdependencies between my various schemas, so the
migration is well-and-truly happening.
I ended up with minutes-long open transactions in the database in prod
which was causing outtages. This is because I thought transactions were
basically free, which is a terrible thing to think. Instead we'll just
open them when we need them.
This is a huge change. I was getting really sick of the split between
nuisance/water tables when more than half of the data they store is
common. I finally bit off the big work of switching it all.
This creates a single unified table, publicreport.report and copies the
existing report data into it. It also ports existing data from the
original tables into the new table.
Along with all of this I also overhauled the system for handling
asynchronous work to use a LISTEN/NOTIFY connection from the database
and a single cache table to avoid ever losing work.
This refactor was born out of the inter-dependency cycles developing
between the "background" module and just about every other module which
was caused by the background module becoming a dependency of every
module that needed to background work and the fact that the background
module was also supposedly responsible for the logic for processing
those tasks.
Instead the "background" module is now very, very shallow and relies
entirely on the Postgres NOTIFY logic for triggering jobs. There's a new
table, `job` which holds just a type and single row ID.
All told, this means that jobs can be added to the queue as part of the
API-level or platform-level transaction, ensuring atomicity, and
processing coordination is handled by the platform module, which can
depend on anything.
