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A short class with Sarah and her students. The other ways are under More.
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Let's start with status code validation. Why do you think it's important to check the HTTP status codes when testing APIs?
I think status codes tell us if our request was successful or if there was an error.
Exactly! Common status codes like 200 for success, 404 for not found, and 500 for server errors provide vital feedback. Can anyone remember what the status code 201 signifies?
Isn't it 'Created'? Like when you successfully create a new resource?
Correct! We often see the term '201 Created' when a POST request successfully adds a new entry.
So, how do we implement this in Postman?
In Postman, you can write assertions to validate status codes. Remember, always ensure the right status code is returned for every request!
Can we try an example together?
Certainly! As a quick recap, validating response statuses provides insights into the health of an API. We’ll go deeper into response body validation next!
Next, let's delve into response body validation. Why is this necessary?
To ensure that the API returns the correct information we expect!
Exactly! For instance, when retrieving user data, we may want specific fields like 'id' and 'name' to be correct. What do you think could happen if these fields have unexpected values?
It could cause issues further down the line in the application using that data.
Right! In Postman, we can assert that field values match our expectations. What coding language is used for these assertions?
JavaScript!
Exactly! Writing tests to assert response bodies helps catch issues before they impact users.
Can we build an assertion together for a user name?
Definitely! As we wrap up, validating response bodies is a key aspect of ensuring API consistency and reliability.
Now, let’s talk about data type verification. Why do we care about the data types in API responses?
Different data types can affect how we use the returned information, right?
Exactly! Using an integer where a string is expected can throw an application off. In the response, if we expect an 'id' to be an integer, what could happen if it's not?
It could lead to errors when processing that data in our application!
Correct! That's why we validate data types. In Postman, we can do this easily using JavaScript assertions. Can anyone give me an example of how we might check a field type?
We could use typeof to check if it's an integer!
Great point! Using assertions to verify data types helps prevent unexpected behavior in applications. Let's summarize.
Let’s discuss authorization tests. Why are these necessary?
To make sure only authorized users can access certain resources.
Exactly! If we send requests without the required token, what kind of status should we expect?
A 401 Unauthorized error!
Correct! In Postman, we can automate assertions for such scenarios. How would tests for valid and invalid tokens look?
We'd check that valid requests are accepted while invalid ones return a 401 status.
Exactly! Authorization tests ensure the integrity of API security, highlighting any vulnerabilities.
Let’s wrap up by discussing negative testing. Why is this a crucial aspect of API testing?
It helps ensure that the API can handle unexpected or incorrect inputs gracefully.
Exactly! If an API responds with a useful error message when given invalid input, what does that indicate?
It means the API is robust and user-friendly!
Correct! In Postman, negative tests can help identify how well the system communicates error states back to users. Let’s summarize all key points we’ve discussed today.
The process of checking that an API response returns the proper HTTP status codes.
Ensuring that the fields in the API response contain the expected values.
Checking that the returned data types in the response match the expected types.
Validating that the API properly restricts access based on user credentials.
Testing the API with invalid data to verify how the system handles erroneous scenarios.
Testing if a successful API request returns a 200 status code.
Verifying that the returned user object includes the correct name and ID fields.
Ensuring that ID is of type integer in the response body.
Sending a request without a token and checking for a 401 Unauthorized response.
Submitting invalid payload data and confirming the API responds with an appropriate error message.
When you test APIs, don’t forget the code, check the status and the payload!
Imagine an API as a restaurant. The status code is the waiter confirming your order is ready, the response body is the meal served, and negative tests are when you send back a dish that’s not right, ensuring customer satisfaction.
Remember ‘SERA’ for API testing: Status, Existence of fields, Response types, and Authorization checks.
Use 'CREATED' to remember: Code, Response, Existence, Assertion, Data types.
Term
What does status code 404 mean?
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What is negative testing?
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What should a successful POST request return?
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Data Type Verification
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What is an API?
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A set of rules that allow different software applications to communicate with each other.
A GUI tool used for sending API requests, viewing responses, and performing API testing.
A standard response code given by web servers to indicate the result of a client's request.
Scripts written to validate the correctness of API responses in testing.
Testing a system with invalid input to ensure it can handle erroneous conditions gracefully.
The process of checking the data types of the returned fields from an API.
This section covers different types of API tests that can be executed using Postman to validate the functionality and robustness of APIs.
The section discusses various types of tests that can be conducted in API testing using Postman, emphasizing the importance of checking status codes, response body, data types, and error messages. It also highlights how these tests are crucial for ensuring reliable backend functionality.
API testing serves a critical role in verifying the functionality and reliability of application backends through various test types. Postman, as an intuitive testing tool, allows users to automate these validations easily. This section articulates the key types of API tests, which include:
By employing these test types, QA professionals can ensure backend systems operate correctly and reliably, contributing to the overall quality of the software.