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Factories and Test Data

Each Test Makes Its Own Data

Create mutable records inside the test that uses them. This keeps setup visible and lets each test select its factory state.

Use beforeEach() only for configuration that applies to every test in the file. Do not create records in it.

Record Construction

  • Use create() if the test needs the record in the database.
  • Use make() only if the test does not need the database. Examples include rendering a notification and testing a value object's behavior.
  • Use a named factory state instead of a raw attribute. User::factory()->unverified()->create() gives the state meaning; create(['email_verified_at' => null]) gives only its value.
  • Use for() or the relationship helper of the project to declare the owner of a record.
  • Use recycle() if several records must share one parent record.
  • Use sequence() if several records need different attributes.
$organization = Organization::factory()->onPlan(BillingPlan::PRO)->create();

$environment = Environment::factory()->recycle($organization)->create();

$organizations = Organization::factory()
    ->count(3)
    ->sequence(
        ['created_at' => now()->setSeconds(30)],
        ['created_at' => now()->setSeconds(1)],
    )
    ->create();

Create only the records required to arrange the behavior or support an assertion.

Datasets

Use a dataset when the setup, test body, and assertions remain the same across input values.

it('forbids roles other than admin', function (Role $role) {
    actingAs(User::factory()->hasOrganization($role)->create())
        ->post('/settings')
        ->assertForbidden();
})->with(collect(Role::cases())->reject(fn (Role $role) => $role === Role::ADMIN));

Use parameterized tests for:

  • enum cases
  • roles and plans
  • boundary values
  • input values that are invalid in the same way
  • input and output value pairs

Write separate tests if the cases need a different setup, a different behavior, or different assertions. One test function with a branch in the body is two tests in one function.

Give each dataset case a name that states the difference. A failure then identifies the case without requiring you to count positions.