138 lines
3.8 KiB
Python
138 lines
3.8 KiB
Python
import comfy.model_management as model_management
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import torch
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import numpy as np
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import os
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import sys
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import folder_paths
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import copy
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import json
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import traceback
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from server import PromptServer
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class AnyType(str):
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def __ne__(self, __value: object) -> bool:
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return False
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any = AnyType("*")
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# Global bridge storage
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class BridgeStorage:
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def __init__(self):
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self.storage = {}
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def store(self, name, data):
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self.storage[name] = data
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def get(self, name):
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return self.storage.get(name)
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def has(self, name):
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return name in self.storage
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# Create a global bridge storage instance
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bridge_storage = BridgeStorage()
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# Store Bridge Node
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class SimpleBridgeStoreNode:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"bridge_name": ("STRING", {"default": "bridge1"})
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},
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"optional": {
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"value": (any, {}),
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}
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}
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RETURN_TYPES = ()
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OUTPUT_NODE = True
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FUNCTION = "store_value"
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CATEGORY = "SimpleBridge"
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def store_value(self, bridge_name, value=None):
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if value is not None:
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bridge_storage.store(bridge_name, value)
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print(f"[SimpleBridge] Stored value under '{bridge_name}': {type(value)}")
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else:
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print(f"[SimpleBridge] Tried to store None under '{bridge_name}'")
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return (value,)
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# Load Bridge Node
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class SimpleBridgeLoadNode:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"bridge_name": ("STRING", {"default": "bridge1"})
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}
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}
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RETURN_TYPES = (any,)
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RETURN_NAMES = ("value",)
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FUNCTION = "load_value"
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CATEGORY = "SimpleBridge"
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def load_value(self, bridge_name):
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# Get the value from the bridge storage
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value = bridge_storage.get(bridge_name)
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if value is None:
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print(f"[SimpleBridge] '{bridge_name}' has no stored value")
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return (value,)
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# Advanced version with dynamic output type
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class SimpleBridgeDynamic:
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@classmethod
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def INPUT_TYPES(cls):
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return {
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"required": {
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"bridge_name": ("STRING", {"default": "bridge1"})
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}
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}
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# Use dynamic return types based on what's stored
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RETURN_TYPES = ()
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FUNCTION = "load_value"
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CATEGORY = "SimpleBridge"
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@classmethod
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def IS_CHANGED(cls, bridge_name):
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# This forces the node to always refresh
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return float("NaN")
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def load_value(self, bridge_name):
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value = bridge_storage.get(bridge_name)
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# Dynamic type handling
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if value is None:
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self.__class__.RETURN_TYPES = ("STRING",)
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return ("No value stored",)
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# Determine the return type based on the stored value
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if isinstance(value, torch.Tensor):
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self.__class__.RETURN_TYPES = ("TENSOR",)
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elif isinstance(value, str):
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self.__class__.RETURN_TYPES = ("STRING",)
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elif isinstance(value, int):
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self.__class__.RETURN_TYPES = ("INT",)
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elif isinstance(value, float):
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self.__class__.RETURN_TYPES = ("FLOAT",)
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elif isinstance(value, list):
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self.__class__.RETURN_TYPES = ("LIST",)
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else:
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# Default case
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self.__class__.RETURN_TYPES = (any,)
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return (value,)
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# Node mapping
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NODE_CLASS_MAPPINGS = {
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"SimpleBridgeStoreNode": SimpleBridgeStoreNode,
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"SimpleBridgeLoadNode": SimpleBridgeLoadNode,
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"SimpleBridgeDynamic": SimpleBridgeDynamic
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}
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# Node display names
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NODE_DISPLAY_NAME_MAPPINGS = {
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"SimpleBridgeStoreNode": "SimpleBridge Store",
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"SimpleBridgeLoadNode": "SimpleBridge Load",
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"SimpleBridgeDynamic": "SimpleBridge Dynamic"
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}
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