import contextvars
from typing import NamedTuple, FrozenSet

class ExecutionContext(NamedTuple):
    """
    Context information about the currently executing node.

    Attributes:
        prompt_id: The ID of the current prompt execution
        node_id: The ID of the currently executing node
        list_index: The index in a list being processed (for operations on batches/lists)
        expected_outputs: Set of output indices that might be used downstream.
                         Outputs NOT in this set are definitely unused (safe to skip).
                         None means the information is not available.
    """
    prompt_id: str
    node_id: str
    list_index: int | None
    expected_outputs: FrozenSet[int] | None = None

current_executing_context: contextvars.ContextVar[ExecutionContext | None] = contextvars.ContextVar("current_executing_context", default=None)

def get_executing_context() -> ExecutionContext | None:
    return current_executing_context.get(None)


def is_output_needed(output_index: int) -> bool:
    """Check if an output at the given index is connected downstream.

    Returns True if the output might be used (should be computed).
    Returns False if the output is definitely not connected (safe to skip).
    """
    ctx = get_executing_context()
    if ctx is None or ctx.expected_outputs is None:
        return True
    return output_index in ctx.expected_outputs


class CurrentNodeContext:
    """
    Context manager for setting the current executing node context.

    Sets the current_executing_context on enter and resets it on exit.

    Example:
        with CurrentNodeContext(prompt_id="abc", node_id="123", list_index=0):
            # Code that should run with the current node context set
            process_image()
    """
    def __init__(
        self,
        prompt_id: str,
        node_id: str,
        list_index: int | None = None,
        expected_outputs: FrozenSet[int] | None = None,
    ):
        self.context = ExecutionContext(
            prompt_id=prompt_id,
            node_id=node_id,
            list_index=list_index,
            expected_outputs=expected_outputs,
        )
        self.token = None

    def __enter__(self):
        self.token = current_executing_context.set(self.context)
        return self

    def __exit__(self, exc_type, exc_val, exc_tb):
        if self.token is not None:
            current_executing_context.reset(self.token)