Request Validation
Explore how to validate request parameters before they reach the use case in a Python clean architecture setup. Understand how to separate valid and invalid requests, customize filters for data queries, and use test-driven development to ensure robust error handling.
The filters parameter that we want to add to the use case would allow the caller to add conditions with which the user would be able to narrow the results of the model list operation. The caller would do this by using a notation like <attribute>__<operator>. For example, specifying filters={'price__lt': 100} should return all the results with a price less than 100.
Since the Room model has many attributes, the number of possible filters is ...