118 lines
5.1 KiB
Python
118 lines
5.1 KiB
Python
# __init__.py
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import os
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import sys
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import subprocess
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import shutil
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import hashlib # 新增：用于计算文件内容的哈希值
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import folder_paths
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from server import PromptServer
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from .routes import get_workflows, read_txt, refresh_models
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from .PSWorkflowConfig import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
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# ======================================================================
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# 自动复制/更新 example 工作流到 ComfyUI 目录
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# ======================================================================
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def get_examples_hash(source_dir):
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"""计算 source_dir 下所有 json 文件的综合 MD5 值，实现免版本号自动更新"""
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if not os.path.exists(source_dir):
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return "none"
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hash_md5 = hashlib.md5()
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try:
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# sorted 保证每次读取文件的顺序一致
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for file_name in sorted(os.listdir(source_dir)):
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if file_name.endswith(".json"):
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file_path = os.path.join(source_dir, file_name)
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# 读取文件内容计算 Hash，多个文件会不断累加计算出唯一的指纹
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with open(file_path, "rb") as f:
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hash_md5.update(f.read())
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return hash_md5.hexdigest()
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except Exception:
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return "error"
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def copy_example_workflows():
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current_dir = os.path.dirname(os.path.abspath(__file__))
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marker_file = os.path.join(current_dir, ".workflows_copied")
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source_dir = os.path.join(current_dir, "example")
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target_dir = os.path.join(folder_paths.base_path, "user", "default", "workflows", "PSflows")
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# 1. 获取当前 example 文件夹下所有工作流内容的真实 Hash
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current_hash = get_examples_hash(source_dir)
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if current_hash in ["none", "error"]:
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return # 如果 example 文件夹不存在或读取出错，直接跳过
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# 2. 读取上一次保存的 Hash 或标记内容
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saved_hash = ""
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if os.path.exists(marker_file):
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try:
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with open(marker_file, 'r', encoding='utf-8') as f:
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saved_hash = f.read().strip()
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except:
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pass
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# 3. 如果 Hash 完全一致，说明工作流没有任何修改，极速跳过，不占用启动时间
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if current_hash == saved_hash:
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return
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# 4. 如果 Hash 不同（旧用户的标记是纯文本、或者工作流被增删改了），执行复制
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print("\n[PS_Connector] 检测到示例工作流有更新或首次安装：正在为您同步...")
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try:
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os.makedirs(target_dir, exist_ok=True)
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for file_name in os.listdir(source_dir):
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source_file = os.path.join(source_dir, file_name)
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# 只复制文件，且仅限 .json 格式
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if os.path.isfile(source_file) and file_name.endswith(".json"):
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shutil.copy2(source_file, target_dir)
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print(f"[PS_Connector] 已同步: {file_name}")
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# 5. 同步成功后，将新的 Hash 值写入标记文件，确保以后不再重复执行
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with open(marker_file, 'w', encoding='utf-8') as f:
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f.write(current_hash)
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print("[PS_Connector] ✅ 示例工作流同步完成！\n")
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except Exception as e:
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print(f"[PS_Connector] ❌ 同步工作流失败: {e}\n")
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copy_example_workflows()
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# ======================================================================
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# ======================================================================
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# 自动安装前置依赖：ComfyUI-Lora-Manager
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# ======================================================================
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def check_and_install_lora_manager():
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current_dir = os.path.dirname(os.path.abspath(__file__))
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custom_nodes_dir = os.path.dirname(current_dir)
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target_folder = "ComfyUI-Lora-Manager"
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target_path = os.path.join(custom_nodes_dir, target_folder)
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repo_url = "https://github.com/willmiao/ComfyUI-Lora-Manager.git"
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if not os.path.exists(target_path):
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print(f"\n[PS_Connector] 检测到缺失核心依赖: {target_folder}。正在自动为您安装...")
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try:
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result = subprocess.run(
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["git", "clone", repo_url, target_path],
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check=True,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True
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)
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print(f"[PS_Connector] ✅ 依赖插件 {target_folder} 安装成功！")
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print(f"[PS_Connector] ⚠️ 注意：由于是首次安装依赖，建议重启 ComfyUI 以确保其完全加载。\n")
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except Exception as e:
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print(f"\n[PS_Connector] ❌ 自动安装失败！请手动前往 custom_nodes 目录执行:")
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print(f"git clone {repo_url}")
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print(f"错误详情: {e}\n")
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check_and_install_lora_manager()
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# ======================================================================
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server = PromptServer.instance
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server.routes.get("/ps_helper/workflows")(get_workflows)
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server.routes.post("/ps_helper/refresh")(refresh_models)
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server.routes.get("/ps_helper/read_txt")(read_txt)
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# 告诉 ComfyUI 加载当前目录下的 js 文件夹作为前端插件
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WEB_DIRECTORY = "./js"
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__all__ = ['NODE_CLASS_MAPPINGS', 'NODE_DISPLAY_NAME_MAPPINGS', 'WEB_DIRECTORY']
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