* Validate and normalize auto-postpone period to days - Add Entropy::AUTO_POSTPONE_PERIODS and validate auto_postpone_period against the allowed set - Introduce auto_postpone_period_in_days for forms and entropy update endpoints - Fall back to index 0 in knob partial when current value isn't in options - Remove entropy_auto_close_options helper in favor of model constant - Update tests to use allowed period values * Use auto_postpone_period_in_days for JSON entropy updates The JSON API was accepting auto_postpone_period (seconds) which bypassed the days normalization and validation. Switch to auto_postpone_period_in_days consistently and add explicit wrap_parameters so flat JSON params are wrapped correctly for the virtual attribute. * Default to account or 30-day fallback when knob value is invalid * Address PR review feedback for entropy validation - Fall back to first knob option (index 0) when persisted value isn't in the allowed set, preventing nil index errors for legacy values - Use integer division (1.day.to_i) for consistent day calculations * Default to account entropy period instead of first option for knob fallback * Test that default auto-postpone period is in the allowed periods * Return 422 instead of 500 for invalid entropy auto-postpone values Rescue ActiveRecord::RecordInvalid in entropy controllers so invalid auto_postpone_period_in_days values return 422 Unprocessable Entity instead of raising a 500. * Fix NoMethodError when board entropy falls back to account default Use container.account.entropy.auto_postpone_period_in_days instead of container.account.auto_postpone_period_in_days since Account doesn't delegate that method. * Test board entropy fallback to account default for invalid periods
Fizzy
This is the source code of Fizzy, the Kanban tracking tool for issues and ideas by 37signals.
Running your own Fizzy instance
If you want to run your own Fizzy instance, but don't need to change its code, you can use our pre-built Docker image. You'll need access to a server on which you can run Docker, and you'll need to configure some options to customize your installation.
You can find the details of how to do a Docker-based deployment in our Docker deployment guide.
If you want more flexibility to customize your Fizzy installation by changing its code, and deploy those changes to your server, then we recommend you deploy Fizzy with Kamal. You can find a complete walkthrough of doing that in our Kamal deployment guide.
Development
You are welcome -- and encouraged -- to modify Fizzy to your liking. Please see our Development guide for how to get Fizzy set up for local development.
Contributing
We welcome contributions! Please read our style guide before submitting code.
License
Fizzy is released under the O'Saasy License.