Jason Zimdars 03dd82bcfc Merge branch 'main' into track-collection-access
* main: (45 commits)
  Make sure QB subscriptions reload properly in dev
  Refine prompt to avoid invalid JSON
  Format
  Format
  Add stemming to search tables
  Refine prompt to avoid invalid JSON
  Make sure it generates valid JSON
  Execute raw SQL to see if this is making production crash
  Just use drop table
  schema update
  Remove VCR record
  Fix tests
  recreate vcr fixtures
  Fix schema, it was missing a FK
  Favor search over terms
  Remove insights, default to keyword search
  Remove semantic searches
  Add search command
  Use clip instead of hidden for body overflow
  Polish up the search results page
  ...
2025-06-25 09:54:58 -05:00
2025-04-05 17:18:54 +02:00
2025-06-04 11:06:09 -04:00
2025-06-24 16:18:19 +01:00
2024-06-21 13:19:56 +01:00
2024-06-21 13:19:56 +01:00
2024-06-21 13:19:56 +01:00
2024-06-21 13:19:56 +01:00
2024-06-21 13:19:56 +01:00
2024-06-21 16:42:48 +01:00
2025-03-19 17:10:47 +01:00
2024-06-21 16:42:48 +01:00
2025-06-20 15:16:56 -04:00
2025-06-25 09:36:14 +02:00
2025-06-25 09:36:14 +02:00
2024-06-21 16:42:48 +01:00
2025-06-04 11:06:09 -04:00

Fizzy

Setting up for development

First get everything installed and configured with:

bin/setup

If you'd like to load fixtures:

bin/rails db:fixtures:load

And then run the development server:

bin/dev

You'll be able to access the app in development at http://development-tenant.fizzy.localhost:3006

Running tests

For fast feedback loops, unit tests can be run with:

bin/rails test

The full continuous integration tests can be run with:

bin/ci

Working with AI features

To work on AI features you need the OpenAI API key stored in the development's credentials file. To decrypt the credentials, you need place the key in a file config/credentials/development.key. You can copy the file from One Password in "Fizzy - development.key".

To get semantic searches working for existing data you need to calculate all the vector embeds:

Card.find_each(&:refresh_search_embedding)
Comment.find_each(&:refresh_search_embedding)

Tests

For testing OpenAI API requests, we use VCR. If you want to test AI features exercising the API, you need to place the config/credentials/test.key that you can get from 1Password in "Fizzy - test.key". Then, when running tests that use Open AI API, you must either set the env variable VCR_RECORD=1 or to add vcr_record! to the test. See VcrTestHelper.

Environments

Fizzy is deployed with Kamal. You'll need to have the 1Password CLI set up in order to access the secrets that are used when deploying. Provided you have that, it should be as simple as bin/kamal deploy to the correct environment.

Beta

Beta is primarily intended for testing product features.

Beta tenant is:

This environment uses local disk for Active Storage.

Staging

Staging is primarily intended for testing infrastructure changes.

Production tenants are:

This environment uses a FlashBlade bucket for blob storage, and shares nothing with Production. We may periodically copy data here from production.

Production

Production tenants are:

This environment uses a FlashBlade bucket for blob storage.

S
Description
No description provided
Readme 62 MiB
Languages
Ruby 67.8%
HTML 14.6%
CSS 10.8%
JavaScript 5.6%
Shell 0.9%
Other 0.3%