236 lines
7.5 KiB
Python
236 lines
7.5 KiB
Python
"""
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节点抽象基类
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提供所有节点的通用基础能力,包括线程管理、中断检测、Provider配置等
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"""
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import asyncio
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import threading
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import time
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from typing import Any, Callable, Dict, Optional, Tuple
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from comfy.model_management import InterruptProcessingException
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from ...utils.common import PREFIX as LOG_PREFIX, REQUEST_PREFIX, PROCESS_PREFIX
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class BaseNode:
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"""
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所有节点的抽象基类
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提供通用功能:
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- 线程执行与中断管理
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- Provider配置覆盖
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- 规则模板获取
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"""
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# 子类应该覆盖这些常量
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LOG_PREFIX = LOG_PREFIX
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REQUEST_PREFIX = REQUEST_PREFIX
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PROCESS_PREFIX = PROCESS_PREFIX
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def _run_thread_with_interrupt(
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self,
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target_func: Callable,
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args: Tuple,
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task_name: str = "任务"
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) -> Dict[str, Any]:
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"""
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在独立线程中运行任务,并支持中断检测
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参数:
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target_func: 要在线程中执行的函数
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args: 传递给函数的参数元组
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task_name: 任务名称,用于日志输出(已废弃,保留参数以兼容旧代码)
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返回:
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result_container中的'result'字段内容
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异常:
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InterruptProcessingException: 当检测到用户中断时
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"""
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result_container = {}
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# 启动线程
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thread = threading.Thread(target=target_func, args=args)
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thread.start()
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# 等待完成,同时检查中断
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while thread.is_alive():
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try:
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import nodes
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nodes.before_node_execution()
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except:
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# 检测到中断,立即抛出异常
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raise InterruptProcessingException()
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time.sleep(0.1)
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return result_container.get('result')
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def _run_async_in_thread(
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self,
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async_func: Callable,
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result_container: Dict[str, Any],
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*args,
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**kwargs
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) -> None:
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"""
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在独立线程中运行异步任务的辅助方法
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这个方法会:
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1. 创建新的事件循环
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2. 运行异步函数
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3. 将结果存入result_container
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4. 正确处理中断异常
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参数:
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async_func: 异步函数
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result_container: 结果容器字典
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*args, **kwargs: 传递给async_func的参数
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结果:
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result_container['result'] = 函数返回值或错误信息
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"""
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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result = loop.run_until_complete(async_func(*args, **kwargs))
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result_container['result'] = result
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except (asyncio.CancelledError, KeyboardInterrupt):
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# 捕获中断异常,不格式化错误
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print(f"{self.LOG_PREFIX} 检测到异步任务被取消")
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result_container['result'] = {"success": False, "error": "任务被中断"}
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except Exception as e:
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# 捕获其他异常,让子类处理格式化
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result_container['result'] = {"success": False, "error": str(e)}
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finally:
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loop.close()
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def _execute_with_interrupt(
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self,
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thread_func: Callable,
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thread_args: Tuple,
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cancel_event: Optional[Any] = None
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) -> Any:
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"""
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执行带中断检测的线程任务(通用封装)
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参数:
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thread_func: 线程中执行的函数(通常是包含异步逻辑的函数)
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thread_args: 传递给thread_func的参数
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cancel_event: 可选的取消事件,用于通知异步任务中断
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返回:
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result_container['result']的内容
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异常:
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InterruptProcessingException: 当检测到用户中断时
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"""
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result_container = {}
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# 如果提供了cancel_event,将其传递给thread_func
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if cancel_event is not None:
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thread = threading.Thread(target=thread_func, args=(result_container, cancel_event) + thread_args)
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else:
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thread = threading.Thread(target=thread_func, args=(result_container,) + thread_args)
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thread.start()
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# 等待完成,同时检查中断
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while thread.is_alive():
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is_interrupted = False
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try:
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import nodes
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nodes.before_node_execution()
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# 双重检查：额外检查 PromptServer 的全局中断状态
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# 某些情况下 nodes.before_node_execution() 可能不会抛出异常
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from server import PromptServer
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if hasattr(PromptServer.instance, 'execution_interrupted') and PromptServer.instance.execution_interrupted:
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is_interrupted = True
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except:
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is_interrupted = True
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if is_interrupted:
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# 检测到中断,设置取消事件(如果提供)
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if cancel_event is not None:
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try:
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cancel_event.set()
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except:
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pass
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raise InterruptProcessingException()
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time.sleep(0.1)
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return result_container.get('result')
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def _override_ollama_config(
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self,
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provider_config: Dict[str, Any],
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auto_unload: bool
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) -> Dict[str, Any]:
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"""
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覆盖Ollama配置中的auto_unload参数
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参数:
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provider_config: 原始Provider配置
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auto_unload: 节点级别的自动释放设置
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返回:
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新的配置字典(不修改原始配置)
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"""
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config_copy = provider_config.copy()
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config_copy['auto_unload'] = auto_unload
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return config_copy
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def _get_prompt_template(
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self,
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template_name: str,
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prompt_type: str,
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use_temp_rule: bool,
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temp_rule_content: str,
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default_content: str
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) -> Tuple[str, str]:
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"""
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获取提示词模板内容
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参数:
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template_name: 模板名称
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prompt_type: 模板类型('expand_prompts', 'vision_prompts'等)
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use_temp_rule: 是否使用临时规则
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temp_rule_content: 临时规则内容
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default_content: 默认提示词内容
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返回:
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(prompt_content, rule_name) 元组
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"""
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# 使用临时规则
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if use_temp_rule and temp_rule_content:
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return temp_rule_content, "临时规则"
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# 从配置获取模板
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from ...config_manager import config_manager
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system_prompts = config_manager.get_system_prompts()
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if not system_prompts:
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return default_content, "默认规则"
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prompts = system_prompts.get(prompt_type, {})
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if not prompts:
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return default_content, "默认规则"
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# 按显示名称匹配
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for key, value in prompts.items():
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if value.get('name') == template_name:
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content = value.get('content', '')
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if content:
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return content, template_name
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# 按键名匹配
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for key, value in prompts.items():
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if key == template_name:
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content = value.get('content', '')
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if content:
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return content, template_name
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# 未找到,使用默认
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return default_content, "默认规则"
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