¿Crear bases de datos solo para pruebas?

How to troubleshoot problems when writing tests in your API?

Imagine that you are creating tests for your API and you find that when you run a set of tests, you get inconsistent results. This is because the database does not allow the creation of multiple users with the same email. This behavior is normal for the API, but it complicates writing tests. Next, we will discuss how to solve this problem without affecting other tests.

What are end-to-end tests (E2E)?

End-to-end tests simulate the flow of a system from user input to final response, verifying the interaction of all components. These tests are crucial, as they are more comprehensive than integration tests by covering all components, from the controller to the database.

What are the rules for writing effective tests?

To maintain the integrity of your tests and ensure that data does not interfere with each other, follow these rules:

1. Do not use the production database: Avoid using it for testing, as it generates unnecessary data and pollutes the environment.
2. Avoid the development database: While it is possible to use it for testing, it is not the most maintainable and may interfere with other tests.
3. Automated test data creation: Do not generate test data manually. Tests should automatically create the necessary data.
4. Replicable scenarios: Each test should start and end with its own data set, which can be easily created and deleted.

How to prevent tests from affecting each other?

Imagine that when testing functions for products, you are left with interference in the purchase order tests. This happens when tests do not have a separate data environment. To avoid this, follow these steps:

• Automate test data: create a dataset for each individual test and delete it after completion.

• Run tests with a new dataset: Before starting a test set, run a data seed. Upon completion of the tests, delete this seed.

This methodology ensures that each test file has its own isolated data, avoiding conflicts between tests.

How to implement data seeds?

Data seeds help to start each test with fresh data:

• Create seed: When starting a test, load a seed containing the necessary data.
• Delete seed: On completion, delete all test data.
• Repeat the process for each test or file: This ensures that each test starts with the same basis and eliminates any data interference.

Professional use and industry benefits

In the professional world, test data automation is crucial to maintain test integrity and ensure consistent results. By using independent information seeds for each test, conflicts are eliminated and the quality of development is improved.

Continue learning and improving your professional skills through advanced software testing practices!