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72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
import contextvars
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from typing import NamedTuple, FrozenSet
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class ExecutionContext(NamedTuple):
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"""
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Context information about the currently executing node.
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Attributes:
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prompt_id: The ID of the current prompt execution
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node_id: The ID of the currently executing node
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list_index: The index in a list being processed (for operations on batches/lists)
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expected_outputs: Set of output indices that might be used downstream.
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Outputs NOT in this set are definitely unused (safe to skip).
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None means the information is not available.
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"""
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prompt_id: str
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node_id: str
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list_index: int | None
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expected_outputs: FrozenSet[int] | None = None
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current_executing_context: contextvars.ContextVar[ExecutionContext | None] = contextvars.ContextVar("current_executing_context", default=None)
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def get_executing_context() -> ExecutionContext | None:
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return current_executing_context.get(None)
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def is_output_needed(output_index: int) -> bool:
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"""Check if an output at the given index is connected downstream.
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Returns True if the output might be used (should be computed).
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Returns False if the output is definitely not connected (safe to skip).
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"""
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ctx = get_executing_context()
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if ctx is None or ctx.expected_outputs is None:
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return True
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return output_index in ctx.expected_outputs
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class CurrentNodeContext:
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"""
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Context manager for setting the current executing node context.
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Sets the current_executing_context on enter and resets it on exit.
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Example:
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with CurrentNodeContext(prompt_id="abc", node_id="123", list_index=0):
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# Code that should run with the current node context set
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process_image()
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"""
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def __init__(
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self,
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prompt_id: str,
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node_id: str,
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list_index: int | None = None,
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expected_outputs: FrozenSet[int] | None = None,
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):
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self.context = ExecutionContext(
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prompt_id=prompt_id,
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node_id=node_id,
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list_index=list_index,
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expected_outputs=expected_outputs,
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)
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self.token = None
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def __enter__(self):
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self.token = current_executing_context.set(self.context)
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return self
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.token is not None:
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current_executing_context.reset(self.token)
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