Digging DeeperFactories

Factories in Kawkab

Overview

Factories in Kawkab provide a simple and effective way to generate fake data for testing and development purposes. Factories use the Faker library to create realistic data.

Basic Usage

Creating a New Factory

To create a new Factory, run the following command:

npm run kawkab factory:make <name> [module]

Parameter Details:

  • <name>: The name of the factory you want to create (e.g., User).
  • [module]: The module that contains the factory (optional, default is main).

Practical Example:

npm run kawkab factory:make user
import { BaseFactory, faker } from 'kawkab';
import { User } from "../models/user";
 
export class UserFactory extends BaseFactory {
    async handle() {
        const data = {
            username: faker.internet.userName(),
            email: faker.internet.email()
        };
 
        await User.query().insert(data);
    }
}

Using the Factory

// Create 10 users
new UserFactory(10);
 
// Create a single user
new UserFactory();

Key Features

  1. Simplicity: Generate data with a single line of code.
  2. Flexibility: The generated data can be customized as needed.
  3. Automation: Data is automatically inserted into the database.
  4. Scalability: New factories can be added easily.

Best Practices

  1. Organizing Factories:

    • Place all factories in the factories folder.
    • Follow the naming convention [ModelName]Factory.

  2. Data:

    • Use Faker to generate realistic data.
    • Avoid hardcoded data unless necessary.
    • Ensure all required fields are covered.

  3. Relationships:

    • Create related records first.
    • Use other factories to create related data.

  4. Testing:

    • Use factories in your test files.
    • Create diverse test data.
    • Clean up the generated data after tests.

Important Notes

  1. Factories are designed for use in development and testing environments only.
  2. Do not use factories in a production environment.
  3. Make sure to use a compatible version of Faker.
  4. Clean up the generated data periodically.

Conclusion

Factories in Kawkab provide a simple and effective way to generate test data. You can quickly generate realistic data for your application, making development and testing faster and easier.

Faker DataTests