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from __future__ import annotations

from typing import Callable, Sequence

from airflow.decorators.base import DecoratedOperator, TaskDecorator, task_decorator_factory
from airflow.operators.python import ShortCircuitOperator


class _ShortCircuitDecoratedOperator(DecoratedOperator, ShortCircuitOperator):
    """
    Wraps a Python callable and captures args/kwargs when called for execution.

    :param python_callable: A reference to an object that is callable
    :param op_kwargs: a dictionary of keyword arguments that will get unpacked
        in your function (templated)
    :param op_args: a list of positional arguments that will get unpacked when
        calling your callable (templated)
    :param multiple_outputs: If set to True, the decorated function's return value will be unrolled to
        multiple XCom values. Dict will unroll to XCom values with its keys as XCom keys. Defaults to False.
    """

    template_fields: Sequence[str] = ('op_args', 'op_kwargs')
    template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}

    # since we won't mutate the arguments, we should just do the shallow copy
    # there are some cases we can't deepcopy the objects (e.g protobuf).
    shallow_copy_attrs: Sequence[str] = ('python_callable',)

    custom_operator_name: str = '@task.short_circuit'

    def __init__(self, *, python_callable, op_args, op_kwargs, **kwargs) -> None:
        kwargs_to_upstream = {
            "python_callable": python_callable,
            "op_args": op_args,
            "op_kwargs": op_kwargs,
        }
        super().__init__(
            kwargs_to_upstream=kwargs_to_upstream,
            python_callable=python_callable,
            op_args=op_args,
            op_kwargs=op_kwargs,
            **kwargs,
        )


def short_circuit_task(
    python_callable: Callable | None = None,
    multiple_outputs: bool | None = None,
    **kwargs,
) -> TaskDecorator:
    """Wraps a function into an ShortCircuitOperator.

    Accepts kwargs for operator kwarg. Can be reused in a single DAG.

    This function is only used only used during type checking or auto-completion.

    :param python_callable: Function to decorate
    :param multiple_outputs: If set to True, the decorated function's return value will be unrolled to
        multiple XCom values. Dict will unroll to XCom values with its keys as XCom keys. Defaults to False.

    :meta private:
    """
    return task_decorator_factory(
        python_callable=python_callable,
        multiple_outputs=multiple_outputs,
        decorated_operator_class=_ShortCircuitDecoratedOperator,
        **kwargs,
    )
