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[Type] Annotate graph.get_input_info (#7386)
* [Type] Annotate graph.get_input_info * nit * nit
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@@ -1,6 +1,9 @@
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import nodes
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from __future__ import annotations
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from typing import Type, Literal
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import nodes
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from comfy_execution.graph_utils import is_link
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from comfy.comfy_types.node_typing import ComfyNodeABC, InputTypeDict, InputTypeOptions
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class DependencyCycleError(Exception):
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pass
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@@ -54,7 +57,22 @@ class DynamicPrompt:
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def get_original_prompt(self):
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return self.original_prompt
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def get_input_info(class_def, input_name, valid_inputs=None):
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def get_input_info(
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class_def: Type[ComfyNodeABC],
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input_name: str,
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valid_inputs: InputTypeDict | None = None
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) -> tuple[str, Literal["required", "optional", "hidden"], InputTypeOptions] | tuple[None, None, None]:
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"""Get the input type, category, and extra info for a given input name.
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Arguments:
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class_def: The class definition of the node.
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input_name: The name of the input to get info for.
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valid_inputs: The valid inputs for the node, or None to use the class_def.INPUT_TYPES().
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Returns:
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tuple[str, str, dict] | tuple[None, None, None]: The input type, category, and extra info for the input name.
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"""
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valid_inputs = valid_inputs or class_def.INPUT_TYPES()
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input_info = None
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input_category = None
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@@ -126,7 +144,7 @@ class TopologicalSort:
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from_node_id, from_socket = value
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if subgraph_nodes is not None and from_node_id not in subgraph_nodes:
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continue
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input_type, input_category, input_info = self.get_input_info(unique_id, input_name)
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_, _, input_info = self.get_input_info(unique_id, input_name)
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is_lazy = input_info is not None and "lazy" in input_info and input_info["lazy"]
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if (include_lazy or not is_lazy) and not self.is_cached(from_node_id):
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node_ids.append(from_node_id)
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