PydanticModelValidator

What it is

A small utility function that validates a payload against a Pydantic BaseModel class. It logs validation errors and re-raises them.

Public API

• pydantic_model_validator(model: Any, payload: Any, message: str) -> None
  • Validates payload using model.model_validate(payload).
  • Ensures model is a class and a subclass of pydantic.BaseModel.
  • On validation failure:
    • Logs an error via naas_abi_core.utils.Logger.logger.error.
    • Re-raises the original pydantic.ValidationError.

Configuration/Dependencies

• Depends on:
  • pydantic.BaseModel
  • pydantic.ValidationError
  • naas_abi_core.utils.Logger.logger (must be configured elsewhere for logging output)

Usage

from pydantic import BaseModel
from naas_abi_core.engine.engine_configuration.utils.PydanticModelValidator import (
    pydantic_model_validator,
)
 
class User(BaseModel):
    id: int
    name: str
 
payload = {"id": 1, "name": "Alice"}
pydantic_model_validator(User, payload, "Invalid user payload")  # returns None on success

Caveats

• model must be a class (not an instance) and must inherit from pydantic.BaseModel; otherwise a TypeError is raised.
• The function does not return the validated model instance; it only validates and raises on error.