388 lines
17 KiB
Python
388 lines
17 KiB
Python
# ui/main_window.py
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# -*- coding: utf-8 -*-
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import os
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import threading
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import logging
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import traceback
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import customtkinter as ctk
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import tkinter as tk
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from tkinter import filedialog, messagebox
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from .role_library import RoleLibrary
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from llm_adapters import create_llm_adapter
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from config_manager import load_config, save_config, test_llm_config, test_embedding_config
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from utils import read_file, save_string_to_txt, clear_file_content
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from tooltips import tooltips
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from ui.context_menu import TextWidgetContextMenu
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from ui.main_tab import build_main_tab, build_left_layout, build_right_layout
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from ui.config_tab import build_config_tabview, load_config_btn, save_config_btn
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from ui.novel_params_tab import build_novel_params_area, build_optional_buttons_area
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from ui.generation_handlers import (
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generate_novel_architecture_ui,
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generate_chapter_blueprint_ui,
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generate_chapter_draft_ui,
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finalize_chapter_ui,
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do_consistency_check,
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import_knowledge_handler,
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clear_vectorstore_handler,
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show_plot_arcs_ui
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)
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from ui.setting_tab import build_setting_tab, load_novel_architecture, save_novel_architecture
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from ui.directory_tab import build_directory_tab, load_chapter_blueprint, save_chapter_blueprint
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from ui.character_tab import build_character_tab, load_character_state, save_character_state
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from ui.summary_tab import build_summary_tab, load_global_summary, save_global_summary
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from ui.chapters_tab import build_chapters_tab, refresh_chapters_list, on_chapter_selected, load_chapter_content, save_current_chapter, prev_chapter, next_chapter
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class NovelGeneratorGUI:
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"""
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小说生成器的主GUI类，包含所有的界面布局、事件处理、与后端逻辑的交互等。
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"""
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def __init__(self, master):
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self.master = master
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self.master.title("Novel Generator GUI")
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try:
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if os.path.exists("icon.ico"):
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self.master.iconbitmap("icon.ico")
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except Exception:
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pass
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self.master.geometry("1350x840")
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# --------------- 配置文件路径 ---------------
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self.config_file = "config.json"
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self.loaded_config = load_config(self.config_file)
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if self.loaded_config:
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last_llm = next(iter(self.loaded_config["llm_configs"].values())).get("interface_format", "OpenAI")
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last_embedding = self.loaded_config.get("last_embedding_interface_format", "OpenAI")
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else:
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last_llm = "OpenAI"
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last_embedding = "OpenAI"
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# if self.loaded_config and "llm_configs" in self.loaded_config and last_llm in self.loaded_config["llm_configs"]:
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# llm_conf = next(iter(self.loaded_config["llm_configs"]))
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# else:
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# llm_conf = {
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# "api_key": "",
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# "base_url": "https://api.openai.com/v1",
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# "model_name": "gpt-4o-mini",
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# "temperature": 0.7,
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# "max_tokens": 8192,
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# "timeout": 600
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# }
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llm_conf = next(iter(self.loaded_config["llm_configs"].values()))
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choose_configs = self.loaded_config.get("choose_configs", {})
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if self.loaded_config and "embedding_configs" in self.loaded_config and last_embedding in self.loaded_config["embedding_configs"]:
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emb_conf = self.loaded_config["embedding_configs"][last_embedding]
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else:
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emb_conf = {
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"api_key": "",
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"base_url": "https://api.openai.com/v1",
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"model_name": "text-embedding-ada-002",
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"retrieval_k": 4
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}
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# -- LLM通用参数 --
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# self.llm_conf_name = next(iter(self.loaded_config["llm_configs"]))
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self.api_key_var = ctk.StringVar(value=llm_conf.get("api_key", ""))
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self.base_url_var = ctk.StringVar(value=llm_conf.get("base_url", "https://api.openai.com/v1"))
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self.interface_format_var = ctk.StringVar(value=llm_conf.get("interface_format", "OpenAI"))
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self.model_name_var = ctk.StringVar(value=llm_conf.get("model_name", "gpt-4o-mini"))
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self.temperature_var = ctk.DoubleVar(value=llm_conf.get("temperature", 0.7))
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self.max_tokens_var = ctk.IntVar(value=llm_conf.get("max_tokens", 8192))
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self.timeout_var = ctk.IntVar(value=llm_conf.get("timeout", 600))
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self.interface_config_var = ctk.StringVar(value=next(iter(self.loaded_config["llm_configs"])))
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# -- Embedding相关 --
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self.embedding_interface_format_var = ctk.StringVar(value=last_embedding)
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self.embedding_api_key_var = ctk.StringVar(value=emb_conf.get("api_key", ""))
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self.embedding_url_var = ctk.StringVar(value=emb_conf.get("base_url", "https://api.openai.com/v1"))
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self.embedding_model_name_var = ctk.StringVar(value=emb_conf.get("model_name", "text-embedding-ada-002"))
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self.embedding_retrieval_k_var = ctk.StringVar(value=str(emb_conf.get("retrieval_k", 4)))
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# -- 生成配置相关 --
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self.architecture_llm_var = ctk.StringVar(value=choose_configs.get("architecture_llm", "DeepSeek"))
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self.chapter_outline_llm_var = ctk.StringVar(value=choose_configs.get("chapter_outline_llm", "DeepSeek"))
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self.final_chapter_llm_var = ctk.StringVar(value=choose_configs.get("final_chapter_llm", "DeepSeek"))
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self.consistency_review_llm_var = ctk.StringVar(value=choose_configs.get("consistency_review_llm", "DeepSeek"))
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self.prompt_draft_llm_var = ctk.StringVar(value=choose_configs.get("prompt_draft_llm", "DeepSeek"))
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# -- 小说参数相关 --
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if self.loaded_config and "other_params" in self.loaded_config:
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op = self.loaded_config["other_params"]
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self.topic_default = op.get("topic", "")
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self.genre_var = ctk.StringVar(value=op.get("genre", "玄幻"))
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self.num_chapters_var = ctk.StringVar(value=str(op.get("num_chapters", 10)))
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self.word_number_var = ctk.StringVar(value=str(op.get("word_number", 3000)))
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self.filepath_var = ctk.StringVar(value=op.get("filepath", ""))
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self.chapter_num_var = ctk.StringVar(value=str(op.get("chapter_num", "1")))
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self.characters_involved_var = ctk.StringVar(value=op.get("characters_involved", ""))
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self.key_items_var = ctk.StringVar(value=op.get("key_items", ""))
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self.scene_location_var = ctk.StringVar(value=op.get("scene_location", ""))
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self.time_constraint_var = ctk.StringVar(value=op.get("time_constraint", ""))
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self.user_guidance_default = op.get("user_guidance", "")
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else:
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self.topic_default = ""
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self.genre_var = ctk.StringVar(value="玄幻")
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self.num_chapters_var = ctk.StringVar(value="10")
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self.word_number_var = ctk.StringVar(value="3000")
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self.filepath_var = ctk.StringVar(value="")
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self.chapter_num_var = ctk.StringVar(value="1")
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self.characters_involved_var = ctk.StringVar(value="")
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self.key_items_var = ctk.StringVar(value="")
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self.scene_location_var = ctk.StringVar(value="")
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self.time_constraint_var = ctk.StringVar(value="")
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self.user_guidance_default = ""
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# --------------- 整体Tab布局 ---------------
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self.tabview = ctk.CTkTabview(self.master)
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self.tabview.pack(fill="both", expand=True)
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# 创建各个标签页
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build_main_tab(self)
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build_config_tabview(self)
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build_novel_params_area(self, start_row=1)
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build_optional_buttons_area(self, start_row=2)
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build_setting_tab(self)
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build_directory_tab(self)
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build_character_tab(self)
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build_summary_tab(self)
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build_chapters_tab(self)
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# ----------------- 通用辅助函数 -----------------
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def show_tooltip(self, key: str):
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info_text = tooltips.get(key, "暂无说明")
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messagebox.showinfo("参数说明", info_text)
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def safe_get_int(self, var, default=1):
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try:
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val_str = str(var.get()).strip()
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return int(val_str)
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except:
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var.set(str(default))
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return default
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def log(self, message: str):
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self.log_text.configure(state="normal")
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self.log_text.insert("end", message + "\n")
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self.log_text.see("end")
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self.log_text.configure(state="disabled")
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def safe_log(self, message: str):
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self.master.after(0, lambda: self.log(message))
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def disable_button_safe(self, btn):
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self.master.after(0, lambda: btn.configure(state="disabled"))
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def enable_button_safe(self, btn):
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self.master.after(0, lambda: btn.configure(state="normal"))
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def handle_exception(self, context: str):
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full_message = f"{context}\n{traceback.format_exc()}"
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logging.error(full_message)
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self.safe_log(full_message)
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def show_chapter_in_textbox(self, text: str):
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self.chapter_result.delete("0.0", "end")
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self.chapter_result.insert("0.0", text)
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self.chapter_result.see("end")
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def test_llm_config(self):
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"""
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测试当前的LLM配置是否可用
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"""
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interface_format = self.interface_format_var.get().strip()
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api_key = self.api_key_var.get().strip()
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base_url = self.base_url_var.get().strip()
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model_name = self.model_name_var.get().strip()
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temperature = self.temperature_var.get()
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max_tokens = self.max_tokens_var.get()
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timeout = self.timeout_var.get()
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test_llm_config(
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interface_format=interface_format,
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api_key=api_key,
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base_url=base_url,
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model_name=model_name,
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temperature=temperature,
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max_tokens=max_tokens,
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timeout=timeout,
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log_func=self.safe_log,
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handle_exception_func=self.handle_exception
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)
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def test_embedding_config(self):
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"""
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测试当前的Embedding配置是否可用
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"""
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api_key = self.embedding_api_key_var.get().strip()
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base_url = self.embedding_url_var.get().strip()
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interface_format = self.embedding_interface_format_var.get().strip()
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model_name = self.embedding_model_name_var.get().strip()
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test_embedding_config(
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api_key=api_key,
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base_url=base_url,
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interface_format=interface_format,
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model_name=model_name,
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log_func=self.safe_log,
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handle_exception_func=self.handle_exception
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)
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def browse_folder(self):
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selected_dir = filedialog.askdirectory()
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if selected_dir:
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self.filepath_var.set(selected_dir)
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def show_character_import_window(self):
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"""显示角色导入窗口"""
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import_window = ctk.CTkToplevel(self.master)
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import_window.title("导入角色信息")
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import_window.geometry("600x500")
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import_window.transient(self.master) # 设置为父窗口的临时窗口
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import_window.grab_set() # 保持窗口在顶层
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# 主容器
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main_frame = ctk.CTkFrame(import_window)
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main_frame.pack(fill="both", expand=True, padx=10, pady=10)
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# 滚动容器
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scroll_frame = ctk.CTkScrollableFrame(main_frame)
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scroll_frame.pack(fill="both", expand=True, padx=5, pady=5)
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# 获取角色库路径
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role_lib_path = os.path.join(self.filepath_var.get().strip(), "角色库")
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self.selected_roles = [] # 存储选中的角色名称
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# 动态加载角色分类
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if os.path.exists(role_lib_path):
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# 配置网格布局参数
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scroll_frame.columnconfigure(0, weight=1)
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max_roles_per_row = 4
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current_row = 0
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for category in os.listdir(role_lib_path):
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category_path = os.path.join(role_lib_path, category)
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if os.path.isdir(category_path):
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# 创建分类容器
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category_frame = ctk.CTkFrame(scroll_frame)
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category_frame.grid(row=current_row, column=0, sticky="w", pady=(10,5), padx=5)
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# 添加分类标签
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category_label = ctk.CTkLabel(category_frame, text=f"【{category}】",
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font=("Microsoft YaHei", 12, "bold"))
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category_label.grid(row=0, column=0, padx=(0,10), sticky="w")
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# 初始化角色排列参数
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role_count = 0
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row_num = 0
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col_num = 1 # 从第1列开始（第0列是分类标签）
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# 添加角色复选框
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for role_file in os.listdir(category_path):
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if role_file.endswith(".txt"):
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role_name = os.path.splitext(role_file)[0]
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if not any(name == role_name for _, name in self.selected_roles):
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chk = ctk.CTkCheckBox(category_frame, text=role_name)
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chk.grid(row=row_num, column=col_num, padx=5, pady=2, sticky="w")
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self.selected_roles.append((chk, role_name))
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# 更新行列位置
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role_count += 1
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col_num += 1
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if col_num > max_roles_per_row:
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col_num = 1
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row_num += 1
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# 如果没有角色，调整分类标签占满整行
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if role_count == 0:
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category_label.grid(columnspan=max_roles_per_row+1, sticky="w")
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# 更新主布局的行号
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current_row += 1
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# 添加分隔线
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separator = ctk.CTkFrame(scroll_frame, height=1, fg_color="gray")
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separator.grid(row=current_row, column=0, sticky="ew", pady=5)
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current_row += 1
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# 底部按钮框架
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btn_frame = ctk.CTkFrame(main_frame)
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btn_frame.pack(fill="x", pady=10)
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# 选择按钮
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def confirm_selection():
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selected = [name for chk, name in self.selected_roles if chk.get() == 1]
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self.char_inv_text.delete("0.0", "end")
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self.char_inv_text.insert("0.0", ", ".join(selected))
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import_window.destroy()
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btn_confirm = ctk.CTkButton(btn_frame, text="选择", command=confirm_selection)
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btn_confirm.pack(side="left", padx=20)
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# 取消按钮
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btn_cancel = ctk.CTkButton(btn_frame, text="取消", command=import_window.destroy)
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btn_cancel.pack(side="right", padx=20)
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def show_role_library(self):
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save_path = self.filepath_var.get().strip()
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if not save_path:
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messagebox.showwarning("警告", "请先设置保存路径")
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return
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# 初始化LLM适配器
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llm_adapter = create_llm_adapter(
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interface_format=self.interface_format_var.get(),
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base_url=self.base_url_var.get(),
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model_name=self.model_name_var.get(),
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api_key=self.api_key_var.get(),
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temperature=self.temperature_var.get(),
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max_tokens=self.max_tokens_var.get(),
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timeout=self.timeout_var.get()
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)
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# 传递LLM适配器实例到角色库
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if hasattr(self, '_role_lib'):
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if self._role_lib.window and self._role_lib.window.winfo_exists():
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self._role_lib.window.destroy()
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self._role_lib = RoleLibrary(self.master, save_path, llm_adapter) # 新增参数
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# ----------------- 将导入的各模块函数直接赋给类方法 -----------------
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generate_novel_architecture_ui = generate_novel_architecture_ui
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generate_chapter_blueprint_ui = generate_chapter_blueprint_ui
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generate_chapter_draft_ui = generate_chapter_draft_ui
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finalize_chapter_ui = finalize_chapter_ui
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do_consistency_check = do_consistency_check
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import_knowledge_handler = import_knowledge_handler
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clear_vectorstore_handler = clear_vectorstore_handler
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show_plot_arcs_ui = show_plot_arcs_ui
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load_config_btn = load_config_btn
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save_config_btn = save_config_btn
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load_novel_architecture = load_novel_architecture
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save_novel_architecture = save_novel_architecture
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load_chapter_blueprint = load_chapter_blueprint
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save_chapter_blueprint = save_chapter_blueprint
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load_character_state = load_character_state
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save_character_state = save_character_state
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load_global_summary = load_global_summary
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save_global_summary = save_global_summary
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refresh_chapters_list = refresh_chapters_list
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on_chapter_selected = on_chapter_selected
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save_current_chapter = save_current_chapter
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prev_chapter = prev_chapter
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next_chapter = next_chapter
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test_llm_config = test_llm_config
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test_embedding_config = test_embedding_config
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browse_folder = browse_folder
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