One of them has been to crack open the scripting world of Python. Pulling data about systems directly from the API is the right thing to do.
For developers utilizing the API, this usually involves making some HTTP requests to the service, and using the responses in their applications. Furthermore, when a part of the API changes, you have to edit all the individual requests you have written.
A better approach would be to use a library in your language of choice that helps you abstract away the API's implementation details. These libraries also have the advantage of returning data as familiar data structures provided by the language, hence enabling idiomatic ways to access and manipulate this data.
By the end of this tutorial, you will learn: How to create and test a custom library which communicates with a third-party API and How to use the custom library in a Python script. Prerequisites Before we get started, ensure you have one of the following Python versions installed: Project Setup We will organize our project as follows: Our project will be organized around the functionality we expect to provide in our wrapper.
For example, methods related to TV functionality will be in the tv. We need to list our dependencies in the requirements. At the time of writing, these are the latest versions. Update the version numbers if later versions have been published by the time you are reading this.
For our first test, let's test that our module will be able to fetch a TV show's info from TMDb successfully. Once we have an instance of the class, when we call the info method, it should return a dictionary containing the TMDb TV ID we provided under the 'id' key.
To run the test, execute the py. As expected, the test will fail with an error message that should contain something similar to the following snippet: This is because the tmdbwrapper package is empty right now.
From now on, we will write the package as we go, adding new code to fix the failing tests, adding more tests and repeating the process until we have all the functionality we need.
You should now see the following error message: We seem to be making some progress. Reading through the error, we can see that it occurs when we try to instantiate the TV class with a number.
Therefore, what we need to do next is implement a constructor for the TV class that takes a number. Let's add it as follows: Now, let's re-run the tests and see if we made any progress. We should see the following error message now: To make this pass, we need to make the info method return a dictionary.
Let's also pre-empt the next failure we expect. Since we know that the returned dictionary should have an id key, we can return a dictionary with an 'id' key whose value will be the TMDb TV ID provided when the class is initialized. To do this, we have to store the ID as an instance variable, in order to access it from the info function.
Writing Foolproof Tests You may be asking yourself why the tests are passing, since we clearly have not fetched any info from the API. Our tests were not exhaustive enough. We need to actually ensure that the correct info that has been fetched from the API is returned.
We can add a test to check that the correct fields are returned in the response, and this would in turn help us ensure that our tests are indeed checking for a correct response object back from the info method.
For this case, we will select a handful of these properties and ensure that they are in the response.Learn to to use Python to write automated backend / API tests, using real working APIs.
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I’ve had a few goals for learning this year. One of them has been to crack open the scripting world of Python. Knowing that the current version’s of vSphere have an incredible Python based API. How to create a Python-powered RESTful API from scratch using Flask and the Connexion library.
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