69 lines
2.1 KiB
Python
69 lines
2.1 KiB
Python
from typing import Callable, Any, TypeVar
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from inspect import signature
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from pydantic import ValidationInfo
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ASYNC_VALIDATOR_KEY = "__async_validator__"
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ASYNC_MODEL_VALIDATOR_KEY = "__async_model_validator__"
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T = TypeVar("T", bound=Callable[..., Any])
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class AsyncValidationContext:
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context: dict[str, Any]
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def __init__(self, context: dict[str, Any]):
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self.context = context
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def async_field_validator(field: str, *fields: str) -> Callable[[T], T]:
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field_names = field, *fields
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def decorator(func: T) -> T:
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params = signature(func).parameters
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requires_validation_context = False
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if len(params) == 3:
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if "info" not in params:
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raise ValueError(
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"Async validator can only have a value parameter and an optional info parameter"
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)
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if params["info"].annotation != ValidationInfo:
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raise ValueError(
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"Async validator info parameter must be of type ValidationInfo"
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)
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requires_validation_context = True
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setattr(
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func, ASYNC_VALIDATOR_KEY, (field_names, func, requires_validation_context)
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)
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return func
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return decorator
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def async_model_validator() -> Callable[[T], T]:
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def decorator(func: T) -> T:
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params = signature(func).parameters
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requires_validation_context = False
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if len(params) > 2:
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raise ValueError("Invalid Parameter Count!")
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if len(params) == 2:
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if "info" not in params:
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raise ValueError(
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"Async validator can only have a value parameter and an optional info parameter"
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)
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if params["info"].annotation != ValidationInfo:
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raise ValueError(
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"Async validator info parameter must be of type ValidationInfo"
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)
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requires_validation_context = True
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setattr(
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func,
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ASYNC_MODEL_VALIDATOR_KEY,
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(func, requires_validation_context),
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)
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return func
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return decorator
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