Challenge: Data Validator for API Responses
In automated QA, data validation is a crucial step to ensure that API responses meet the expected structure and content. As you work with APIs, you will often encounter scenarios where responses are missing required fields, which can lead to test failures or undetected issues in production. Automating the validation of API responses not only saves time but also increases the reliability of your testing process. Your challenge is to implement a function that inspects a batch of API responses (represented as dictionaries) and identifies any responses that are missing key fields. This technique is essential for robust automated QA pipelines and helps you quickly spot incomplete or malformed data.
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Write a function that checks a list of API response dictionaries for missing required fields.
- The function must check each dictionary in the
responseslist for the presence of the fields'id','status', and'message'. - If a response is missing any of these fields, its
'id'value must be added to the result list. - If an incomplete response does not have an
'id'field, addNoneto the result list for that response. - The function must return a list of all such ids (or
None), in the same order as the original list.
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What are the key fields that should be present in each API response?
Can you provide an example of the API response format?
How should the function report or handle responses with missing fields?
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In automated QA, data validation is a crucial step to ensure that API responses meet the expected structure and content. As you work with APIs, you will often encounter scenarios where responses are missing required fields, which can lead to test failures or undetected issues in production. Automating the validation of API responses not only saves time but also increases the reliability of your testing process. Your challenge is to implement a function that inspects a batch of API responses (represented as dictionaries) and identifies any responses that are missing key fields. This technique is essential for robust automated QA pipelines and helps you quickly spot incomplete or malformed data.
Swipe to start coding
Write a function that checks a list of API response dictionaries for missing required fields.
- The function must check each dictionary in the
responseslist for the presence of the fields'id','status', and'message'. - If a response is missing any of these fields, its
'id'value must be added to the result list. - If an incomplete response does not have an
'id'field, addNoneto the result list for that response. - The function must return a list of all such ids (or
None), in the same order as the original list.
Рішення
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