Test di funzionalità e prestazioni

In questo esercizio continuerai a testare la pipeline di dati con pandas. Creerai due tipi di test: un test di funzionalità con pytest per verificare che la funzionalità "trovare la retribuzione mediana per l'anno 2022" funzioni davvero; e un test di prestazioni con pytest-benchmark per capire quanto è veloce il processo usando pytest-benchmark. Nota: il nome della funzione testreadingspeed() nella soluzione viene usato per effettuare il benchmark delle prestazioni. È coerente con la convenzione di denominazione e con la funzionalità.

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Introduzione al Testing in Python

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Introduzione al Testing in Python

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Learn what a test is and how to run the first one of your own with the pytest library! You will get used to the pytest testing framework and the command-line interface. You will also learn how to process specific contexts, like "failed tests" and "skipping the test" with pytest markers.

Exercise 1: Introduction to Testing in Python Exercise 2: The first test suite Exercise 3: pytest.raises Exercise 4: Invoking pytest from CLI Exercise 5: Run the test!Exercise 6: Run with the keyword Exercise 7: Applying test markers Exercise 8: Markers use cases Exercise 9: Failed tests with xfail Exercise 10: Conditional skipping

Learn what a fixture is and how to simplify your code by using it in tests. You will get familiar with the fixture @pytest.fixture decorator and the fixture tools. You will analyze your code to see the "fixture part" in it. Finally, learn how to use teardowns to prevent software failures.

Exercise 1: Introduction to fixtures Exercise 2: Getting familiar with fixtures Exercise 3: Data preparation Exercise 4: Run with a fixture Exercise 5: Chain Fixtures Requests Exercise 6: Chain this out Exercise 7: List with a custom length Exercise 8: Fixtures autouse Exercise 9: autouse statements Exercise 10: Auto add numbers Exercise 11: Fixtures Teardowns Exercise 12: Data with teardown Exercise 13: Read data with teardown

Learn what the basic testing types are and their features. Learn about test cases and how they help to implement tests. You will get more skilled with creating test functions and running pytest from CLI in IDE exercises. Finally, you will be able to differentiate the different testing types and create tests for each of them.

Exercise 1: Unit testing with pytest Exercise 2: Unit testing terms Exercise 3: Cover more test cases Exercise 4: Factorial of number Exercise 5: Run factorial Exercise 6: Feature testing with pytest Exercise 7: Feature or unit testing Exercise 8: Aggregate with sum Exercise 9: Integration testing with pytest Exercise 10: Integration test or not Exercise 11: Read the file Exercise 12: Performance testing with pytest Exercise 13: What is performance testing?Exercise 14: Finding an element Exercise 15: Speed of loops

In this final chapter, you will meet the unittest framework. First, you will learn basic assertion methods, then its CLI interface, and how to use fixtures. Finally, you will put everything together in the practical examples of data pipelines.

Exercise 1: Incontriamo unittest Exercise 2: Fattoriale con unittest Exercise 3: È primo oppure no Exercise 4: Interfaccia CLI Exercise 5: Esegui factorial con unittest Exercise 6: Fattoriale errato Exercise 7: Opzioni di unittest Exercise 8: Fixture in unittest Exercise 9: Testa la variabile stringa Exercise 10: Verifica palindromo Exercise 11: Esempi pratici Exercise 12: Test di integrazione e unitari Exercise 13: Test di funzionalità e prestazioni

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Exercise 14: Pipeline energetica Exercise 15: Congratulazioni!