How can I handle validation errors in Pydantic?

How can I handle validation errors in Pydantic?

You can handle validation errors in Pydantic by using the ValidationError exception. When you create a model instance, if the data is invalid, it raises this exception.

Can you show me an example of how to catch that exception?

Sure! Here's a simple example:

from pydantic import BaseModel, ValidationError

class User(BaseModel):
    name: str
    age: int

try:
    user = User(name='Alice', age='twenty')  # Invalid age
except ValidationError as e:
    print(e.json())  # This will print the validation errors

What kind of information does the ValidationError provide?

The ValidationError provides details about the errors, including the field names, error types, and error messages. You can access this information using the errors() method or by converting it to JSON.

Is there a way to customize the error messages?

Yes, you can customize error messages by using the @validator decorator in your Pydantic model. This allows you to define custom validation logic and messages.