•
Problem: field required (type=value_error.missing)
•
Answer:
The "field required (type=value_error.missing)" error message in the Pydantic library occurs when a required field is not provided during the instantiation process. In Pydantic models, the Field function is used to declare fields of the model, and setting ... as the default value for a field makes it mandatory, indicating that the field is required.
From the provided NovelBeat class code, all fields are set with ... as their default value, indicating that all fields are required. However, the NovelBeat class overrides the default __init__ mechanism of Pydantic by setting field values directly within its __init__ method. In such cases, Pydantic's data validation and conversion functionality may not work correctly.
To solve the problem, it is generally recommended not to define the __init__ method directly in Pydantic models and instead leverage Pydantic's own data validation mechanism.