Files
supabase/apps/studio/tests
Lukas BernertandClaude Fable 5 77ee1ec127 chore(studio): describe compute CPU by size tier (#50401)
## What kind of change does this PR introduce?

Copy/label update in Studio's compute surfaces.

## Description

Compute CPU descriptions now branch on the compute size tier:

- Sizes below Large read **"Shared compute"** (no core count)
- Large and up read **"Dedicated · N vCPUs"** — the unit is always vCPU

Changes:

- New `lib/compute-labels.ts` helper (`isSharedComputeSize`,
`getComputeCpuLabel`) with unit tests
- Compute badge hover card, compute size picker, and project-creation
selector use the new labels
- `new-project.constants.ts` cpu strings updated accordingly
- ">16XL" card: "Custom CPU" → "Custom compute"; upsell copy now says
"64 vCPUs"
- The synthetic Nano/Micro addon `meta` no longer has
`cpu_cores`/`cpu_dedicated`; removed the now-unused cpu fields from the
hardcoded instance specs
- Project-creation sub-text: "Larger, dedicated compute available after
creation"

## Tests

- New unit tests for the label helper
- Infrastructure settings page test now asserts the rendered labels

Fixes PROD-663

Related #49998 #49996


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **User Interface**
* Updated compute-size labels to use “Shared compute” and vCPU
terminology.
  * Clarified dedicated compute options and availability messaging.
* Updated custom instance and upgrade labels, including “Custom compute”
and “64 vCPUs.”
* **Consistency**
* Standardized compute labels across project creation, infrastructure
settings, and compute details.
* **Tests**
* Added coverage verifying shared and dedicated compute classifications
and displayed labels.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-09-17 12:18:48 +02:00
..
2026-09-11 12:17:49 +08:00

UI Testing Notes

Rules

  • All tests should be run consistently (avoid situations whereby tests fails "sometimes")

  • Group tests in folders based on the feature they are testing. Avoid file/folder based folder names since those can change and we will forget to update the tests.

Examples: /logs /reports /projects /database-settings /auth

Custom Render and Custom Render Hook

customRender and customRenderHook are wrappers around render and renderHook that add some necessary providers like QueryClientProvider, TooltipProvider and NuqsTestingAdapter.

Generally use those instead of the default render and renderHook functions.

import { customRender, customRenderHook } from 'tests/lib/custom-render'

customRender(<MyComponent />)
customRenderHook(() => useMyHook())

Mocking API Requests

To mock API requests, we use the msw library.

Global mocks can be found in tests/lib/msw-global-api-mocks.ts.

To mock an endpoint you can use the addAPIMock function. Make sure to add the mock in the beforeEach hook. It won't work with beforeAll if you have many tests.

beforeEach(() => {
  addAPIMock({
    method: 'get',
    path: '/api/my-endpoint',
    response: {
      data: { foo: 'bar' },
    },
  })
})

API Mocking Tips:

  • Keep mocks in the same folder as the tests that use them
  • Add a test to verify the mock is working

This will make debugging and updating the mocks easier.

test('mock is working', async () => {
  const response = await fetch('/api/my-endpoint')
  expect(response.json()).resolves.toEqual({ data: { foo: 'bar' } })
})

Mocking Nuqs URL Parameters

To render a component that uses Nuqs with some predefined query parameters, you can use customRender with the nuqs prop.


customRender(<MyComponent />, {
  nuqs: {
    searchParams: {
      search: 'hello world',
    },
  },
})

<Popover> vs <Dropdown>

When simulating clicks on these components, do the following:

// for Popovers
import userEvent from '@testing-library/user-event'
await userEvent.click('Hello world')

// for Dropdowns
import clickDropdown from 'tests/helpers'
clickDropdown('Hello world')