Meisoftcoltd
af8ef37b79
Added `IS_CHANGED` class methods to calculation nodes (`AutoLoopCalculator`, `AutoLoopCalculatorTTS`, `AutoLoopCalculatorWan`, `AutoLoopCalculatorLTX`, `AutoLoopCalculatorTTSBatch`) and `LazySessionCache` to force ComfyUI to re-evaluate them continuously, resolving a false positive cache issue that prevented global Python state variables from updating correctly across batch boundaries.
114 lines
4.0 KiB
Python
114 lines
4.0 KiB
Python
class AnyType(str):
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def __ne__(self, __value: object) -> bool:
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return False
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any_type = AnyType("*")
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class MasterSwitch:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"is_final_cycle": ("BOOLEAN", {"default": False, "forceInput": False}),
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},
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"optional": {
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"on_true": (any_type,),
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"on_false": (any_type,),
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}
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}
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RETURN_TYPES = (any_type, "STRING")
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RETURN_NAMES = ("output", "log")
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FUNCTION = "route"
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CATEGORY = "🔁 Sequential Batcher/Logic"
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# 🔥 Evaluación Perezosa Nativa (Protege el Ciclo 0)
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def check_lazy_status(self, is_final_cycle, on_true=None, on_false=None):
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if is_final_cycle:
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return ["on_true"]
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else:
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return ["on_false"]
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def route(self, is_final_cycle, on_true=None, on_false=None):
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log_output = []
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def _log(msg):
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print(msg)
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log_output.append(str(msg))
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if is_final_cycle:
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return (on_true, "\n".join(log_output))
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else:
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return (on_false, "\n".join(log_output))
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# Diccionario global para persistencia entre ciclos de ejecución
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GLOBAL_SESSION_CACHE = {}
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class LazySessionCache:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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# Mantenemos el índice como obligatorio para saber en qué ciclo estamos
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"current_loop_index": ("INT", {"default": 0, "forceInput": True}),
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},
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"optional": {
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# 'value_in' DEBE ser opcional para que la evaluación perezosa funcione
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"value_in": (any_type, {"forceInput": True}),
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},
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"hidden": {
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"unique_id": "UNIQUE_ID"
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}
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}
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RETURN_TYPES = (any_type, "STRING")
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RETURN_NAMES = ("value_out", "log")
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FUNCTION = "execute"
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CATEGORY = "🔁 Sequential Batcher/Logic"
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@classmethod
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def IS_CHANGED(cls, **kwargs):
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import time
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return time.time()
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# 🔥 LA CLAVE: Aquí es donde ComfyUI decide si "tira del cable" o no
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def check_lazy_status(self, current_loop_index, **kwargs):
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# El índice llega como una lista o un int dependiendo del nodo anterior
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idx = current_loop_index[0] if isinstance(current_loop_index, list) else current_loop_index
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if idx == 0:
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# Ciclo 0: Obligamos a ComfyUI a ejecutar todo lo que haya atrás
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return ["value_in"]
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else:
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# Ciclos > 0: NO pedimos 'value_in'. ComfyUI NO ejecutará los nodos anteriores.
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return []
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def execute(self, current_loop_index, value_in=None, unique_id="0"):
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global GLOBAL_SESSION_CACHE
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log_output = []
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def _log(msg):
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print(msg); log_output.append(str(msg))
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idx = current_loop_index[0] if isinstance(current_loop_index, list) else current_loop_index
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_log(f"🧠 [Cache] Ciclo {idx} | Nodo ID: {unique_id}")
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# --- LÓGICA DE CAPTURA (Ciclo 0) ---
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if idx == 0:
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if value_in is not None:
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GLOBAL_SESSION_CACHE[unique_id] = value_in
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_log(" -> 💾 Valor capturado y guardado en RAM.")
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return (value_in, "\n".join(log_output))
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else:
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# Si es el ciclo 0 y no hay nada, algo va mal en el flujo
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raise ValueError(f"❌ Error en LazySessionCache [{unique_id}]: No se recibió valor en el Ciclo 0.")
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# --- LÓGICA DE RECUPERACIÓN (Ciclos > 0) ---
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else:
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if unique_id in GLOBAL_SESSION_CACHE:
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_log(" -> ♻️ Recuperando valor de RAM (Upstream bloqueado con éxito).")
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return (GLOBAL_SESSION_CACHE[unique_id], "\n".join(log_output))
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else:
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# Fallback de seguridad por si el caché se limpió o se saltó el ciclo 0
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_log(" -> ⚠️ No hay caché. Intentando usar entrada directa.")
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return (value_in, "\n".join(log_output))
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