# ui/config_tab.py # -*- coding: utf-8 -*- from tkinter import messagebox import customtkinter as ctk from config_manager import load_config, save_config from tooltips import tooltips def create_label_with_help(self, parent, label_text, tooltip_key, row, column, font=None, sticky="e", padx=5, pady=5): """ 封装一个带"?"按钮的Label，用于展示提示信息。 """ frame = ctk.CTkFrame(parent) frame.grid(row=row, column=column, padx=padx, pady=pady, sticky=sticky) frame.columnconfigure(0, weight=0) label = ctk.CTkLabel(frame, text=label_text, font=font) label.pack(side="left") btn = ctk.CTkButton( frame, text="?", width=22, height=22, font=("Microsoft YaHei", 10), command=lambda: messagebox.showinfo("参数说明", tooltips.get(tooltip_key, "暂无说明")) ) btn.pack(side="left", padx=3) return frame def build_config_tabview(self): """ 创建包含 LLM Model settings 和 Embedding settings 的选项卡。 """ self.config_tabview = ctk.CTkTabview(self.config_frame) self.config_tabview.grid(row=0, column=0, sticky="we", padx=5, pady=5) self.ai_config_tab = self.config_tabview.add("LLM Model settings") self.embeddings_config_tab = self.config_tabview.add("Embedding settings") self.config_choose = self.config_tabview.add("Config choose") build_ai_config_tab(self) build_embeddings_config_tab(self) build_config_choose_tab(self) # 底部的"保存配置"和"加载配置"按钮 self.btn_frame_config = ctk.CTkFrame(self.config_frame) self.btn_frame_config.grid(row=1, column=0, padx=5, pady=5, sticky="ew") self.btn_frame_config.columnconfigure(0, weight=1) self.btn_frame_config.columnconfigure(1, weight=1) save_config_btn = ctk.CTkButton(self.btn_frame_config, text="保存当前选择接口配置到文件", command=self.save_config_btn, font=("Microsoft YaHei", 12)) save_config_btn.grid(row=0, column=0, padx=5, pady=5, sticky="ew") load_config_btn = ctk.CTkButton(self.btn_frame_config, text="加载当前选择接口配置到程序", command=self.load_config_btn, font=("Microsoft YaHei", 12)) load_config_btn.grid(row=0, column=1, padx=5, pady=5, sticky="ew") def build_ai_config_tab(self): def on_interface_format_changed(new_value): self.interface_format_var.set(self.loaded_config["llm_configs"][new_value].get("interface_format", "OpenAI")) config_data = load_config(self.config_file) if config_data: config_data["last_interface_format"] = new_value save_config(config_data, self.config_file) if self.loaded_config and "llm_configs" in self.loaded_config and new_value in self.loaded_config["llm_configs"]: llm_conf = self.loaded_config["llm_configs"][new_value] self.api_key_var.set(llm_conf.get("api_key", "")) self.base_url_var.set(llm_conf.get("base_url", self.base_url_var.get())) self.model_name_var.set(llm_conf.get("model_name", "")) self.temperature_var.set(llm_conf.get("temperature", 0.7)) self.max_tokens_var.set(llm_conf.get("max_tokens", 8192)) self.timeout_var.set(llm_conf.get("timeout", 600)) else: if new_value == "Ollama": self.base_url_var.set("http://localhost:11434/v1") elif new_value == "ML Studio": self.base_url_var.set("http://localhost:1234/v1") elif new_value == "OpenAI": self.base_url_var.set("https://api.openai.com/v1") self.model_name_var.set("gpt-4o-mini") elif new_value == "Azure OpenAI": self.base_url_var.set("https://[az].openai.azure.com/openai/deployments/[model]/chat/completions?api-version=2024-08-01-preview") elif new_value == "DeepSeek": self.base_url_var.set("https://api.deepseek.com/v1") self.model_name_var.set("deepseek-chat") elif new_value == "Gemini": self.base_url_var.set("") elif new_value == "Azure AI": self.base_url_var.set("https://.services.ai.azure.com/models/chat/completions?api-version=2024-05-01-preview") elif new_value == "阿里云百炼": self.base_url_var.set("https://dashscope.aliyuncs.com/compatible-mode/v1") self.model_name_var.set("qwen-plus") elif new_value == "硅基流动": self.base_url_var.set("https://api.siliconflow.cn/v1") self.model_name_var.set("deepseek-ai/DeepSeek-V3") elif new_value == "Grok": self.base_url_var.set("https://api.x.ai/v1") self.model_name_var.set("grok-3") def add_new_config(): new_config_name = "New Config" if new_config_name in self.loaded_config.get("llm_configs", {}): messagebox.showerror("错误", "配置名称已存在！") return self.loaded_config["llm_configs"][new_config_name] = { "api_key": "", "base_url": "", "model_name": "", "temperature": 0.7, "max_tokens": 8192, "timeout": 600 } # refresh_config_list() def delete_config(): selected_config = self.interface_format_var.get() if selected_config in self.loaded_config.get("llm_configs", {}): del self.loaded_config["llm_configs"][selected_config] # refresh_config_list() else: messagebox.showerror("错误", "未找到选中的配置！") for i in range(9): self.ai_config_tab.grid_rowconfigure(i, weight=0) self.ai_config_tab.grid_columnconfigure(0, weight=0) self.ai_config_tab.grid_columnconfigure(1, weight=1) self.ai_config_tab.grid_columnconfigure(2, weight=0) #接口配置 create_label_with_help(self, parent=self.ai_config_tab, label_text="接口配置", tooltip_key="interface_config", row= 0, column=0, font=("Microsoft YaHei", 12)) interface_config_dropdown = ctk.CTkOptionMenu(self.ai_config_tab, values=list(self.loaded_config.get("llm_configs", {}).keys()), variable=self.interface_config_var, command=on_interface_format_changed, font=("Microsoft YaHei", 12)) interface_config_dropdown.grid(row=0, column=1, padx=5, pady=5, columnspan=2, sticky="nsew") #新增删除 add_btn = ctk.CTkButton(self.ai_config_tab, text="新增配置", command=add_new_config, font=("Microsoft YaHei", 12)) add_btn.grid(row=1, column=1, padx=5, pady=5, sticky="ew") delete_btn = ctk.CTkButton(self.ai_config_tab, text="删除配置", command=delete_config, font=("Microsoft YaHei", 12)) delete_btn.grid(row=1, column=2, padx=5, pady=5, sticky="ew") # 1) API Key create_label_with_help(self, parent=self.ai_config_tab, label_text="LLM API Key:", tooltip_key="api_key", row=2, column=0, font=("Microsoft YaHei", 12)) api_key_entry = ctk.CTkEntry(self.ai_config_tab, textvariable=self.api_key_var, font=("Microsoft YaHei", 12),show="*") api_key_entry.grid(row=2, column=1, padx=5, pady=5, columnspan=2, sticky="nsew") # 2) Base URL create_label_with_help(self, parent=self.ai_config_tab, label_text="LLM Base URL:", tooltip_key="base_url", row=3, column=0, font=("Microsoft YaHei", 12)) base_url_entry = ctk.CTkEntry(self.ai_config_tab, textvariable=self.base_url_var, font=("Microsoft YaHei", 12)) base_url_entry.grid(row=3, column=1, padx=5, pady=5, columnspan=2, sticky="nsew") # 3) 接口格式 create_label_with_help(self, parent=self.ai_config_tab, label_text="LLM 接口格式:", tooltip_key="interface_format", row=4, column=0, font=("Microsoft YaHei", 12)) # 在接口选项列表中添加 "Grok" interface_options = ["DeepSeek", "阿里云百炼", "OpenAI", "Azure OpenAI", "Azure AI", "Ollama", "ML Studio", "Gemini", "火山引擎", "硅基流动", "Grok"] interface_dropdown = ctk.CTkOptionMenu(self.ai_config_tab, values=interface_options, variable=self.interface_format_var, command=on_interface_format_changed, font=("Microsoft YaHei", 12)) interface_dropdown.grid(row=4, column=1, padx=5, pady=5, columnspan=2, sticky="nsew") # 4) Model Name create_label_with_help(self, parent=self.ai_config_tab, label_text="Model Name:", tooltip_key="model_name", row=5, column=0, font=("Microsoft YaHei", 12)) model_name_entry = ctk.CTkEntry(self.ai_config_tab, textvariable=self.model_name_var, font=("Microsoft YaHei", 12)) model_name_entry.grid(row=5, column=1, padx=5, pady=5, columnspan=2, sticky="nsew") # 5) Temperature create_label_with_help(self, parent=self.ai_config_tab, label_text="Temperature:", tooltip_key="temperature", row=6, column=0, font=("Microsoft YaHei", 12)) def update_temp_label(value): self.temp_value_label.configure(text=f"{float(value):.2f}") temp_scale = ctk.CTkSlider(self.ai_config_tab, from_=0.0, to=2.0, number_of_steps=200, command=update_temp_label, variable=self.temperature_var) temp_scale.grid(row=6, column=1, padx=5, pady=5, sticky="we") self.temp_value_label = ctk.CTkLabel(self.ai_config_tab, text=f"{self.temperature_var.get():.2f}", font=("Microsoft YaHei", 12)) self.temp_value_label.grid(row=6, column=2, padx=5, pady=5, sticky="w") # 6) Max Tokens create_label_with_help(self, parent=self.ai_config_tab, label_text="Max Tokens:", tooltip_key="max_tokens", row=7, column=0, font=("Microsoft YaHei", 12)) def update_max_tokens_label(value): self.max_tokens_value_label.configure(text=str(int(float(value)))) max_tokens_slider = ctk.CTkSlider(self.ai_config_tab, from_=0, to=102400, number_of_steps=100, command=update_max_tokens_label, variable=self.max_tokens_var) max_tokens_slider.grid(row=7, column=1, padx=5, pady=5, sticky="we") self.max_tokens_value_label = ctk.CTkLabel(self.ai_config_tab, text=str(self.max_tokens_var.get()), font=("Microsoft YaHei", 12)) self.max_tokens_value_label.grid(row=7, column=2, padx=5, pady=5, sticky="w") # 7) Timeout (sec) create_label_with_help(self, parent=self.ai_config_tab, label_text="Timeout (sec):", tooltip_key="timeout", row=8, column=0, font=("Microsoft YaHei", 12)) def update_timeout_label(value): integer_val = int(float(value)) self.timeout_value_label.configure(text=str(integer_val)) timeout_slider = ctk.CTkSlider(self.ai_config_tab, from_=0, to=3600, number_of_steps=3600, command=update_timeout_label, variable=self.timeout_var) timeout_slider.grid(row=8, column=1, padx=5, pady=5, sticky="we") self.timeout_value_label = ctk.CTkLabel(self.ai_config_tab, text=str(self.timeout_var.get()), font=("Microsoft YaHei", 12)) self.timeout_value_label.grid(row=8, column=2, padx=5, pady=5, sticky="w") # 添加测试按钮 test_btn = ctk.CTkButton(self.ai_config_tab, text="测试配置", command=self.test_llm_config, font=("Microsoft YaHei", 12)) test_btn.grid(row=9, column=0, columnspan=3, padx=5, pady=5, sticky="ew") def build_embeddings_config_tab(self): def on_embedding_interface_changed(new_value): self.embedding_interface_format_var.set(new_value) config_data = load_config(self.config_file) if config_data: config_data["last_embedding_interface_format"] = new_value save_config(config_data, self.config_file) if self.loaded_config and "embedding_configs" in self.loaded_config and new_value in self.loaded_config["embedding_configs"]: emb_conf = self.loaded_config["embedding_configs"][new_value] self.embedding_api_key_var.set(emb_conf.get("api_key", "")) self.embedding_url_var.set(emb_conf.get("base_url", self.embedding_url_var.get())) self.embedding_model_name_var.set(emb_conf.get("model_name", "")) self.embedding_retrieval_k_var.set(str(emb_conf.get("retrieval_k", 4))) else: if new_value == "Ollama": self.embedding_url_var.set("http://localhost:11434/api") elif new_value == "ML Studio": self.embedding_url_var.set("http://localhost:1234/v1") elif new_value == "OpenAI": self.embedding_url_var.set("https://api.openai.com/v1") self.embedding_model_name_var.set("text-embedding-ada-002") elif new_value == "Azure OpenAI": self.embedding_url_var.set("https://[az].openai.azure.com/openai/deployments/[model]/embeddings?api-version=2023-05-15") elif new_value == "DeepSeek": self.embedding_url_var.set("https://api.deepseek.com/v1") elif new_value == "Gemini": self.embedding_url_var.set("https://generativelanguage.googleapis.com/v1beta/") self.embedding_model_name_var.set("models/text-embedding-004") elif new_value == "SiliconFlow": self.embedding_url_var.set("https://api.siliconflow.cn/v1/embeddings") self.embedding_model_name_var.set("BAAI/bge-m3") for i in range(5): self.embeddings_config_tab.grid_rowconfigure(i, weight=0) self.embeddings_config_tab.grid_columnconfigure(0, weight=0) self.embeddings_config_tab.grid_columnconfigure(1, weight=1) self.embeddings_config_tab.grid_columnconfigure(2, weight=0) # 1) Embedding API Key create_label_with_help(self, parent=self.embeddings_config_tab, label_text="Embedding API Key:", tooltip_key="embedding_api_key", row=0, column=0, font=("Microsoft YaHei", 12)) emb_api_key_entry = ctk.CTkEntry(self.embeddings_config_tab, textvariable=self.embedding_api_key_var, font=("Microsoft YaHei", 12)) emb_api_key_entry.grid(row=0, column=1, padx=5, pady=5, sticky="nsew") # 2) Embedding 接口格式 create_label_with_help(self, parent=self.embeddings_config_tab, label_text="Embedding 接口格式:", tooltip_key="embedding_intexrface_format", row=1, column=0, font=("Microsoft YaHei", 12)) emb_interface_options = ["DeepSeek", "OpenAI", "Azure OpenAI", "Gemini", "Ollama", "ML Studio","SiliconFlow"] emb_interface_dropdown = ctk.CTkOptionMenu(self.embeddings_config_tab, values=emb_interface_options, variable=self.embedding_interface_format_var, command=on_embedding_interface_changed, font=("Microsoft YaHei", 12)) emb_interface_dropdown.grid(row=1, column=1, padx=5, pady=5, sticky="nsew") # 3) Embedding Base URL create_label_with_help(self, parent=self.embeddings_config_tab, label_text="Embedding Base URL:", tooltip_key="embedding_url", row=2, column=0, font=("Microsoft YaHei", 12)) emb_url_entry = ctk.CTkEntry(self.embeddings_config_tab, textvariable=self.embedding_url_var, font=("Microsoft YaHei", 12)) emb_url_entry.grid(row=2, column=1, padx=5, pady=5, sticky="nsew") # 4) Embedding Model Name create_label_with_help(self, parent=self.embeddings_config_tab, label_text="Embedding Model Name:", tooltip_key="embedding_model_name", row=3, column=0, font=("Microsoft YaHei", 12)) emb_model_name_entry = ctk.CTkEntry(self.embeddings_config_tab, textvariable=self.embedding_model_name_var, font=("Microsoft YaHei", 12)) emb_model_name_entry.grid(row=3, column=1, padx=5, pady=5, sticky="nsew") # 5) Retrieval Top-K create_label_with_help(self, parent=self.embeddings_config_tab, label_text="Retrieval Top-K:", tooltip_key="embedding_retrieval_k", row=4, column=0, font=("Microsoft YaHei", 12)) emb_retrieval_k_entry = ctk.CTkEntry(self.embeddings_config_tab, textvariable=self.embedding_retrieval_k_var, font=("Microsoft YaHei", 12)) emb_retrieval_k_entry.grid(row=4, column=1, padx=5, pady=5, sticky="nsew") # 添加测试按钮 test_btn = ctk.CTkButton(self.embeddings_config_tab, text="测试配置", command=self.test_embedding_config, font=("Microsoft YaHei", 12)) test_btn.grid(row=5, column=0, columnspan=2, padx=5, pady=5, sticky="ew") def build_config_choose_tab(self): def on_core_seed_llm_changed(new_value): self.core_seed_llm_var.set(new_value) config_data = load_config(self.config_file) if config_data: config_data["core_seed_llm"] = new_value save_config(config_data, self.config_file) self.config_choose.grid_rowconfigure(0, weight=0) self.config_choose.grid_columnconfigure(0, weight=0) self.config_choose.grid_columnconfigure(1, weight=1) config_choose_options = list(self.loaded_config.get("llm_configs", {}).keys()) create_label_with_help(self, parent=self.config_choose, label_text="生成核心种子所用大模型", tooltip_key="core_seed_llm_config", row=0, column=0, font=("Microsoft YaHei", 12)) core_seed_dropdown = ctk.CTkOptionMenu(self.config_choose, values=config_choose_options, variable=self.core_seed_llm_var, font=("Microsoft YaHei", 12), command=on_core_seed_llm_changed) core_seed_dropdown.grid(row=0, column=1, padx=5, pady=5, sticky="nsew") create_label_with_help(self, parent=self.config_choose, label_text="生成角色动力学所用大模型", tooltip_key="role_dynamics_llm_config", row=1, column=0, font=("Microsoft YaHei", 12)) role_dynamics_dropdown = ctk.CTkOptionMenu(self.config_choose, values=config_choose_options, variable=self.role_dynamics_llm_var, font=("Microsoft YaHei", 12)) role_dynamics_dropdown.grid(row=1, column=1, padx=5, pady=5, sticky="nsew") create_label_with_help(self, parent=self.config_choose, label_text="生成世界观设定所用大模型", tooltip_key="world_building_llm_config", row=2, column=0, font=("Microsoft YaHei", 12)) world_building_dropdown = ctk.CTkOptionMenu(self.config_choose, values=config_choose_options, variable=self.world_building_llm_var, font=("Microsoft YaHei", 12)) world_building_dropdown.grid(row=2, column=1, padx=5, pady=5, sticky="nsew") create_label_with_help(self, parent=self.config_choose, label_text="生成三幕式情节所用大模型", tooltip_key="three_scene_llm_config", row=3, column=0, font=("Microsoft YaHei", 12)) three_scene_dropdown = ctk.CTkOptionMenu(self.config_choose, values=config_choose_options, variable=self.three_scene_llm_var, font=("Microsoft YaHei", 12)) three_scene_dropdown.grid(row=3, column=1, padx=5, pady=5, sticky="nsew") def load_config_btn(self): cfg = load_config(self.config_file) if cfg: last_llm = cfg.get("last_interface_format", "OpenAI") last_embedding = cfg.get("last_embedding_interface_format", "OpenAI") self.interface_format_var.set(last_llm) self.embedding_interface_format_var.set(last_embedding) llm_configs = cfg.get("llm_configs", {}) if last_llm in llm_configs: llm_conf = llm_configs[last_llm] self.interface_format_var.set(llm_conf.get("interface_format", "OpenAI")) self.api_key_var.set(llm_conf.get("api_key", "")) self.base_url_var.set(llm_conf.get("base_url", "https://api.openai.com/v1")) self.model_name_var.set(llm_conf.get("model_name", "gpt-4o-mini")) self.temperature_var.set(llm_conf.get("temperature", 0.7)) self.max_tokens_var.set(llm_conf.get("max_tokens", 8192)) self.timeout_var.set(llm_conf.get("timeout", 600)) embedding_configs = cfg.get("embedding_configs", {}) if last_embedding in embedding_configs: emb_conf = embedding_configs[last_embedding] self.embedding_api_key_var.set(emb_conf.get("api_key", "")) self.embedding_url_var.set(emb_conf.get("base_url", "https://api.openai.com/v1")) self.embedding_model_name_var.set(emb_conf.get("model_name", "text-embedding-ada-002")) self.embedding_retrieval_k_var.set(str(emb_conf.get("retrieval_k", 4))) other_params = cfg.get("other_params", {}) self.topic_text.delete("0.0", "end") self.topic_text.insert("0.0", other_params.get("topic", "")) self.genre_var.set(other_params.get("genre", "玄幻")) self.num_chapters_var.set(str(other_params.get("num_chapters", 10))) self.word_number_var.set(str(other_params.get("word_number", 3000))) self.filepath_var.set(other_params.get("filepath", "")) self.chapter_num_var.set(str(other_params.get("chapter_num", "1"))) self.user_guide_text.delete("0.0", "end") self.user_guide_text.insert("0.0", other_params.get("user_guidance", "")) self.characters_involved_var.set(other_params.get("characters_involved", "")) self.key_items_var.set(other_params.get("key_items", "")) self.scene_location_var.set(other_params.get("scene_location", "")) self.time_constraint_var.set(other_params.get("time_constraint", "")) self.log("已加载配置。") else: messagebox.showwarning("提示", "未找到或无法读取配置文件。") def save_config_btn(self): current_llm_interface = self.interface_format_var.get().strip() current_embedding_interface = self.embedding_interface_format_var.get().strip() llm_config = { "api_key": self.api_key_var.get(), "base_url": self.base_url_var.get(), "model_name": self.model_name_var.get(), "temperature": self.temperature_var.get(), "max_tokens": self.max_tokens_var.get(), "timeout": self.safe_get_int(self.timeout_var, 600), "interface_format": current_llm_interface } embedding_config = { "api_key": self.embedding_api_key_var.get(), "base_url": self.embedding_url_var.get(), "model_name": self.embedding_model_name_var.get(), "retrieval_k": self.safe_get_int(self.embedding_retrieval_k_var, 4), "interface_format": current_embedding_interface } other_params = { "topic": self.topic_text.get("0.0", "end").strip(), "genre": self.genre_var.get(), "num_chapters": self.safe_get_int(self.num_chapters_var, 10), "word_number": self.safe_get_int(self.word_number_var, 3000), "filepath": self.filepath_var.get(), "chapter_num": self.chapter_num_var.get(), "user_guidance": self.user_guide_text.get("0.0", "end").strip(), "characters_involved": self.characters_involved_var.get(), "key_items": self.key_items_var.get(), "scene_location": self.scene_location_var.get(), "time_constraint": self.time_constraint_var.get() } llm_config_name = self.base_url_var.get().split("/")[2] + " " + self.model_name_var.get() existing_config = load_config(self.config_file) if not existing_config: existing_config = {} existing_config["last_interface_format"] = current_llm_interface existing_config["last_embedding_interface_format"] = current_embedding_interface if "llm_configs" not in existing_config: existing_config["llm_configs"] = {} llm_config["config_name"] = llm_config_name existing_config["llm_configs"][llm_config_name] = llm_config if "embedding_configs" not in existing_config: existing_config["embedding_configs"] = {} existing_config["embedding_configs"][current_embedding_interface] = embedding_config existing_config["other_params"] = other_params if save_config(existing_config, self.config_file): messagebox.showinfo("提示", "配置已保存至 config.json") self.log("配置已保存。") else: messagebox.showerror("错误", "保存配置失败。")