fix: 修复容器重启后 bot_config.toml 会被覆盖的问题

config/auto_format.py

@@ -1,46 +0,0 @@
-import tomli
-import tomli_w
-import sys
-from pathlib import Path
-import os
-
-def sync_configs():
-    # 读取两个配置文件
-    try:
-        with open('bot_config_dev.toml', 'rb') as f:  # tomli需要使用二进制模式读取
-            dev_config = tomli.load(f)
-        
-        with open('bot_config.toml', 'rb') as f:
-            prod_config = tomli.load(f)
-    except FileNotFoundError as e:
-        print(f"错误：找不到配置文件 - {e}")
-        sys.exit(1)
-    except tomli.TOMLDecodeError as e:
-        print(f"错误：TOML格式解析失败 - {e}")
-        sys.exit(1)
-
-    # 递归合并配置
-    def merge_configs(source, target):
-        for key, value in source.items():
-            if key not in target:
-                target[key] = value
-            elif isinstance(value, dict) and isinstance(target[key], dict):
-                merge_configs(value, target[key])
-
-    # 将dev配置的新属性合并到prod配置中
-    merge_configs(dev_config, prod_config)
-
-    # 保存更新后的配置
-    try:
-        with open('bot_config.toml', 'wb') as f:  # tomli_w需要使用二进制模式写入
-            tomli_w.dump(prod_config, f)
-        print("配置文件同步完成！")
-    except Exception as e:
-        print(f"错误：保存配置文件失败 - {e}")
-        sys.exit(1)
-
-if __name__ == '__main__':
-    # 确保在正确的目录下运行
-    script_dir = Path(__file__).parent
-    os.chdir(script_dir)
-    sync_configs()

config/bot_config_template.toml

@@ -1,99 +0,0 @@
-[bot]
-qq = 123
-nickname = "麦麦"
-
-[personality]
-prompt_personality = [
-        "曾经是一个学习地质的女大学生，现在学习心理学和脑科学，你会刷贴吧",    # 贴吧人格 
-        "是一个女大学生，你有黑色头发，你会刷小红书"    # 小红书人格
-    ]
-prompt_schedule = "一个曾经学习地质,现在学习心理学和脑科学的女大学生，喜欢刷qq，贴吧，知乎和小红书"
-
-[message]
-min_text_length = 2 # 与麦麦聊天时麦麦只会回答文本大于等于此数的消息
-max_context_size = 15 # 麦麦获得的上文数量
-emoji_chance = 0.2 # 麦麦使用表情包的概率
-ban_words = [
-    # "403","张三"
-    ]
-
-[emoji]
-check_interval = 120 # 检查表情包的时间间隔
-register_interval = 10 # 注册表情包的时间间隔
-
-[cq_code]
-enable_pic_translate = false
-
-[response]
-model_r1_probability = 0.8 # 麦麦回答时选择R1模型的概率
-model_v3_probability = 0.1 # 麦麦回答时选择V3模型的概率
-model_r1_distill_probability = 0.1 # 麦麦回答时选择R1蒸馏模型的概率
-
-[memory]
-build_memory_interval = 300 # 记忆构建间隔 单位秒
-forget_memory_interval = 300 # 记忆遗忘间隔 单位秒
-
-[others]
-enable_advance_output = true # 是否启用高级输出
-enable_kuuki_read = true # 是否启用读空气功能
-
-[groups]
-talk_allowed = [
-    123,
-    123,
-]  #可以回复消息的群
-talk_frequency_down = []  #降低回复频率的群
-ban_user_id = []  #禁止回复消息的QQ号
-
-
-#V3
-#name = "deepseek-chat"
-#base_url = "DEEP_SEEK_BASE_URL"
-#key = "DEEP_SEEK_KEY"
-
-#R1
-#name = "deepseek-reasoner"
-#base_url = "DEEP_SEEK_BASE_URL"
-#key = "DEEP_SEEK_KEY"
-
-#下面的模型若使用硅基流动则不需要更改，使用ds官方则改成.env.prod自定义的宏，使用自定义模型则选择定位相似的模型自己填写
-
-[model.llm_reasoning] #R1
-name = "Pro/deepseek-ai/DeepSeek-R1"
-# name = "Qwen/QwQ-32B"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-[model.llm_reasoning_minor] #R1蒸馏
-name = "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-[model.llm_normal] #V3
-name = "Pro/deepseek-ai/DeepSeek-V3"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-[model.llm_normal_minor] #V2.5
-name = "deepseek-ai/DeepSeek-V2.5"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-[model.vlm] #图像识别
-name = "deepseek-ai/deepseek-vl2"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-[model.embedding] #嵌入
-name = "BAAI/bge-m3"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"
-
-# 主题提取，jieba和snownlp不用api，llm需要api
-[topic]
-topic_extract='snownlp' # 只支持jieba,snownlp,llm三种选项
-
-[topic.llm_topic]
-name = "Pro/deepseek-ai/DeepSeek-V3"
-base_url = "SILICONFLOW_BASE_URL"
-key = "SILICONFLOW_KEY"