Python Pytest is a framework based on Python. It is mainly used to write API test cases. It helps you write better programs. In the present days of REST services, Pytest is mainly used for API testing even though we can use Pytest to write simple to complex test cases, i.e., we can write codes to test API, UI, database, etc. Pytest is a testing framework for Python that makes it easy to write simple and scalable test cases. It offers features like fixtures, parameterized tests, and detailed error reporting. With Pytest, you can efficiently test your code and ensure its reliability.
Some key features of Pytest is as follows ?
- Simple Syntax: Pytest uses a simple syntax for writing tests, making it easy to get started and understand test cases.
- Fixtures: Provides a powerful fixture mechanism to set up and tear down resources needed for tests, promoting code reuse and reducing duplication.
- Parameterized Tests: Supports parameterized tests, allowing you to run the same test with different inputs efficiently.
- Detailed Reporting: Offers detailed and readable test reports with clear information on test failures and errors, helping you diagnose issues quickly.
- Extensible: Highly extensible with plugins, enabling additional functionalities and integrations modified to your testing needs.
Advantages of pytest framework are listed below ?
- Pytest is capable of executing multiple test cases simultaneously, thereby reducing the execution duration.
- Pytest is capable of skipping a test method from a group of test methods during execution.
- Pytest is free and does not have licensing cost.
- Pytest is quick and easy to learn.
- Pytest can choose to run a particular test method, or all the test methods of a particular test file based on conditions.
- Pytest is capable of skipping a few test methods out of all the test methods during test execution.
- Pytest can be used to test a wide range of applications on API, database and so on.
- Learning Curve: While Pytest is simple to use, developers who are new to the framework may find it difficult to keep up with its vast feature set. It could take some initial study to fully comprehend and utilize all of Pytest's features.
- Effort Required for Migration: It could take some work to convert test suites from other frameworks to Pytest, especially if the tests mostly rely on framework-specific features or standards.
- Dependency on External Libraries: Certain sophisticated capabilities, such as fixtures and parameterization, depend on external libraries. These libraries offer capabilities to Pytest, but they also introduce new dependencies that might need to be handled.
