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Using validator in Pydantic, how can I set the value of an attribute attB when validating the value of attA
GPT-4o mini

GPT-4o mini

In Pydantic, you can use the `@validator` decorator to set the value of one attribute based on the value of another during validation. To achieve this, you can use the `pre=True` parameter if you want to validate the attributes before any other validation rules are applied. Here's an example of how to set the value of `attB` when validating the value of `attA`: ```python from pydantic import BaseModel, validator class MyModel(BaseModel): attA: int attB: int = None # Default value can be None or some other value @validator('attA', pre=True) def set_attB_from_attA(cls, attA_value, values): # Here, we can set attB based on attA values['attB'] = attA_value * 2 # Example logic: attB is twice the value of attA return attA_value # Example usage model = MyModel(attA=5) print(model.attA) # Output: 5 print(model.attB) # Output: 10 ``` ### Explanation: 1. **BaseModel**: `MyModel` inherits from `BaseModel`, which is the base class for creating Pydantic models. 2. **Attributes**: `attA` is defined as an integer, and `attB` is also an integer with a default value of `None`. 3. **Validator**: - The `@validator('attA', pre=True)` decorator is applied to `set_attB_from_attA`. - This method takes `attA_value` (the value for `attA`) and `values` (a dictionary of attribute values, which may include other validated fields). - Inside the method, `attB` is set based on the value of `attA`. In this case, `attB` is set to be double the value of `attA`. 4. **Return Value**: The validated value of `attA` is returned, which allows the validation process to continue. When you create an instance of `MyModel`, `attB` will automatically be set based on the value of `attA` during validation.

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