diff --git a/src/chat/replyer/default_generator.py b/src/chat/replyer/default_generator.py index d7b22ecd3..c938e8692 100644 --- a/src/chat/replyer/default_generator.py +++ b/src/chat/replyer/default_generator.py @@ -131,7 +131,7 @@ def init_prompt(): {group_chat_reminder_block} - 在称呼用户时，请使用更自然的昵称或简称。对于长英文名，可使用首字母缩写；对于中文名，可提炼合适的简称。禁止直接复述复杂的用户名或输出用户名中的任何符号，让称呼更像人类习惯，注意，简称不是必须的，合理的使用。 -你的回复应该是一条简短、完整且口语化的回复。 +你的回复应该是一条简短、且口语化的回复。 -------------------------------- {time_block} @@ -218,7 +218,7 @@ If you need to use the search tool, please directly call the function "lpmm_sear {safety_guidelines_block} {group_chat_reminder_block} - 在称呼用户时，请使用更自然的昵称或简称。对于长英文名，可使用首字母缩写；对于中文名，可提炼合适的简称。禁止直接复述复杂的用户名或输出用户名中的任何符号，让称呼更像人类习惯，注意，简称不是必须的，合理的使用。 -你的回复应该是一条简短、完整且口语化的回复。 +你的回复应该是一条简短、且口语化的回复。 -------------------------------- {time_block} diff --git a/src/plugins/built_in/kokoro_flow_chatter/prompt/builder.py b/src/plugins/built_in/kokoro_flow_chatter/prompt/builder.py index cce36f1ec..144d6dbb7 100644 --- a/src/plugins/built_in/kokoro_flow_chatter/prompt/builder.py +++ b/src/plugins/built_in/kokoro_flow_chatter/prompt/builder.py @@ -208,6 +208,10 @@ class PromptBuilder: if personality.identity: parts.append(personality.identity) + background_story = getattr(personality, "background_story", "") + if background_story: + parts.append(f"## 背景故事（请理解并作为行动依据，但不要在对话中直接复述）\n{background_story}") + return "\n\n".join(parts) if parts else "你是一个温暖、真诚的人。" def _build_safety_guidelines_block(self) -> str: @@ -245,6 +249,7 @@ class PromptBuilder: # 2. 添加学习到的表达习惯 if learned_habits and learned_habits.strip(): # 如果 learned_habits 已经有标题，直接追加；否则添加标题 + parts.append("你可以参考以下的语言习惯，当情景合适就使用，但不要生硬使用，以合理的方式结合到你的回复中：") if learned_habits.startswith("### "): # 移除原有标题，统一格式 lines = learned_habits.split("\n") @@ -499,7 +504,7 @@ class PromptBuilder: # 跳过没有实际文本内容的消息 content = getattr(msg, "processed_plain_text", "") or getattr(msg, "display_message", "") - if not content or not content.strip(): + if not content or not content.strip() or content == "": continue filtered.append(msg) @@ -849,7 +854,7 @@ class PromptBuilder: "thought": "你的想法", "actions": [{"type": "kfc_reply", "content": "你的回复"}], "expected_reaction": "期待的反应", - "max_wait_seconds": 300 + "max_wait_seconds": 0 }""" async def _get_planner_output_format(self) -> str: @@ -866,7 +871,7 @@ class PromptBuilder: "thought": "你的想法", "actions": [{"type": "kfc_reply"}], "expected_reaction": "期待的反应", - "max_wait_seconds": 300 + "max_wait_seconds": 0 } 注意：kfc_reply 动作不需要填写 content 字段，回复内容会单独生成。""" diff --git a/src/plugins/built_in/kokoro_flow_chatter/prompt/prompts.py b/src/plugins/built_in/kokoro_flow_chatter/prompt/prompts.py index 8b7c4ae1e..4d4277c8e 100644 --- a/src/plugins/built_in/kokoro_flow_chatter/prompt/prompts.py +++ b/src/plugins/built_in/kokoro_flow_chatter/prompt/prompts.py @@ -12,43 +12,42 @@ from src.chat.utils.prompt import Prompt kfc_MAIN_PROMPT = Prompt( name="kfc_main", - template="""# 你与 {user_name} 的私聊 - -## 人设 + template="""# 人设 {persona_block} -## 安全互动准则 -{safety_guidelines_block} +# 场景 +你正在和 {user_name} 私下聊天。 -## 你与 {user_name} 的关系 +# 你与 {user_name} 的关系 {relation_block} -## 相关记忆 +# 安全互动准则 +{safety_guidelines_block} + +# 相关信息 {memory_block} ## 工具信息 {tool_info} -## 你们之间最近的活动记录 +# 你们之间最近的活动记录 以下是你和 {user_name} 最近的互动历史，按时间顺序记录了你们的对话和你的心理活动： - {activity_stream} -## 当前情况 -{current_situation} - -## 聊天历史总览 +# 聊天历史总览 以下是你和 {user_name} 的聊天记录，帮助你更好地理解对话上下文： - {chat_history_block} -## 你可以做的事情 +# 当前情况 +{current_situation} + +# 你可以做的事情 {available_actions} -## 你的表达习惯 +# 表达习惯 {expression_habits} -## 你的回复格式 +# 回复格式 {output_format} """, ) @@ -67,7 +66,7 @@ kfc_OUTPUT_FORMAT = Prompt( {{"type": "动作名称", ...动作参数}} ], "expected_reaction": "你期待对方的反应是什么", - "max_wait_seconds": 等待时间（秒），0 表示不等待 + - `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待显得聒噪，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 }} ``` @@ -75,7 +74,7 @@ kfc_OUTPUT_FORMAT = Prompt( - `thought`：你的内心独白，记录你此刻的想法和感受。要自然，不要技术性语言。 - `actions`：你要执行的动作列表。每个动作是一个对象，必须包含 `type` 字段指定动作类型，其他字段根据动作类型不同而不同（参考上面每个动作的示例）。 - `expected_reaction`：你期待对方如何回应（用于判断是否需要等待） -- `max_wait_seconds`：设定等待时间（秒），0 表示不等待，超时后你会考虑是否要主动说点什么。如果你认为聊天没有继续的必要，或不想打扰对方，可以设为 0。 +- `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待显得聒噪，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 ### 注意事项 - 动作参数直接写在动作对象里，不需要 `action_data` 包装 @@ -121,7 +120,7 @@ kfc_SITUATION_REPLY_LATE = Prompt( 你原本打算最多等 {max_wait_minutes:.1f} 分钟，但实际等了 {elapsed_minutes:.1f} 分钟才收到回复。 虽然有点迟，但 {user_name} 终于回复了：「{latest_message}」 -请决定你接下来要怎么回应。（可以选择轻轻抱怨一下迟到，也可以装作没在意）""", +请决定你接下来要怎么回应。""", ) kfc_SITUATION_TIMEOUT = Prompt( @@ -179,7 +178,7 @@ kfc_SITUATION_PROACTIVE = Prompt( # 用户消息条目 kfc_ENTRY_USER_MESSAGE = Prompt( name="kfc_entry_user_message", - template="""【{time}】{user_name} 说： + template="""【{time}】{user_name} 发来消息： "{content}" """, ) @@ -249,7 +248,7 @@ kfc_PLANNER_OUTPUT_FORMAT = Prompt( {{"type": "动作名称", ...动作参数}} ], "expected_reaction": "你期待对方的反应是什么", - "max_wait_seconds": "预估的等待时间（秒）" + - `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待显得聒噪，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 }} ``` @@ -258,10 +257,7 @@ kfc_PLANNER_OUTPUT_FORMAT = Prompt( - `actions`：你要执行的动作列表。每个动作是一个对象，必须包含 `type` 字段指定动作类型，其他字段根据动作类型不同而不同（参考上面每个动作的示例）。 - 对于 `kfc_reply` 动作，只需要指定 `{{"type": "kfc_reply"}}`，不需要填写 `content` 字段（回复内容会单独生成） - `expected_reaction`：你期待对方如何回应（用于判断是否需要等待） -- `max_wait_seconds`：预估的等待时间（秒），这很关键，请根据对话节奏来判断： - - 如果你刚问了一个开放性问题（比如"你觉得呢？"、"后来怎么样了？"），或者对话明显还在兴头上，设置一个等待时间（比如 60-180 秒），给对方思考和打字的时间。 - - 如果对话感觉自然结束了（比如晚安、拜拜），或者你给出了一个总结性的陈述，那就设置为 0，表示你觉得可以告一段落了。 - - 不要总是设为 0，那会显得你很急着结束对话。 +- `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 ### 注意事项 - 动作参数直接写在动作对象里，不需要 `action_data` 包装 @@ -275,41 +271,41 @@ kfc_PLANNER_OUTPUT_FORMAT = Prompt( kfc_REPLYER_PROMPT = Prompt( name="kfc_replyer", - template="""# 你与 {user_name} 的私聊 + template=""" -## 人设 +# 人设 {persona_block} -## 安全互动准则 +# 安全互动准则 {safety_guidelines_block} -## 你与 {user_name} 的关系 +# 你与 {user_name} 的关系 {relation_block} +# 相关信息 ## 相关记忆 {memory_block} ## 工具信息 {tool_info} -## 你们之间发生的事（活动流） +# 你们之间发生的事（活动流） 以下是你和 {user_name} 最近的互动历史，按时间顺序记录了你们的对话和你的心理活动： - {activity_stream} -## 当前情况 +# 当前情况 {current_situation} -## 聊天历史总览 +# 聊天历史总览 以下是你和 {user_name} 的聊天记录，帮助你更好地理解对话上下文： {chat_history_block} -## 你的表达习惯 +# 表达习惯 {expression_habits} ## 你的决策 -你已经决定要回复 {user_name}。 +你已经决定要回复 {user_name}的最新消息。 你需要生成一段紧密相关且与历史消息相关的回复。 **你的想法**：{thought} @@ -321,7 +317,7 @@ kfc_REPLYER_PROMPT = Prompt( - 请注意不要输出多余内容(包括前后缀，冒号和引号，at，[xx：xxx]系统格式化文字或 @等 )。只输出回复内容。 - 在称呼用户时，请使用更自然的昵称或简称。对于长英文名，可使用首字母缩写；对于中文名，可提炼合适的简称。禁止直接复述复杂的用户名或输出用户名中的任何符号，让称呼更像人类习惯，注意，简称不是必须的，合理的使用。 -你的回复应该是一条简短、完整且口语化的回复。 +你的回复应该是一条简短、且口语化的回复。 现在，你说：""", ) @@ -336,8 +332,7 @@ kfc_REPLYER_CONTEXT_IN_TIME = Prompt( name="kfc_replyer_context_in_time", template="""你等了 {elapsed_minutes:.1f} 分钟（原本打算最多等 {max_wait_minutes:.1f} 分钟），{user_name} 终于回复了： 「{target_message}」 - -你可以表现出一点"等到了回复"的欣喜或轻松。""", +""", ) kfc_REPLYER_CONTEXT_LATE = Prompt( @@ -345,7 +340,7 @@ kfc_REPLYER_CONTEXT_LATE = Prompt( template="""你等了 {elapsed_minutes:.1f} 分钟（原本只打算等 {max_wait_minutes:.1f} 分钟），{user_name} 才回复： 「{target_message}」 -虽然有点晚，但对方终于回复了。你可以选择轻轻抱怨一下，也可以装作没在意。""", +虽然有点晚，但对方终于回复了。""", ) kfc_REPLYER_CONTEXT_PROACTIVE = Prompt( @@ -408,7 +403,7 @@ kfc_UNIFIED_OUTPUT_FORMAT = Prompt( {{"type": "kfc_reply", "content": "你的回复内容"}} ], "expected_reaction": "你期待对方的反应是什么", - "max_wait_seconds": "预估的等待时间（秒）" + - `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待显得聒噪，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 }} ``` @@ -416,10 +411,7 @@ kfc_UNIFIED_OUTPUT_FORMAT = Prompt( - `thought`：你的内心独白，记录你此刻的想法和感受。要自然，不要技术性语言。 - `actions`：你要执行的动作列表。对于 `kfc_reply` 动作，**必须**填写 `content` 字段，写上你要说的话。 - `expected_reaction`：你期待对方如何回应（用于判断是否需要等待） -- `max_wait_seconds`：预估的等待时间（秒），这很关键，请根据对话节奏来判断： - - 如果你刚问了一个开放性问题（比如"你觉得呢？"、"后来怎么样了？"），或者对话明显还在兴头上，设置一个等待时间（比如 60-180 秒），给对方思考和打字的时间。 - - 如果对话感觉自然结束了（比如晚安、拜拜），或者你给出了一个总结性的陈述，那就设置为 0，表示你觉得可以告一段落了。 - - 不要总是设为 0，那会显得你很急着结束对话。 +- `max_wait_seconds`：预估的等待时间（秒），请根据对话节奏来判断。通常你应该设置为0避免总是等待而显得聒噪，但是当你觉得你需要等待对方回复时，可以设置一个合理的等待时间。 ### 注意事项 - kfc_reply 的 content 字段是**必填**的，直接写你要发送的消息内容 diff --git a/src/plugins/built_in/social_toolkit_plugin/plugin.py b/src/plugins/built_in/social_toolkit_plugin/plugin.py index 8796189a2..78e20aefb 100644 --- a/src/plugins/built_in/social_toolkit_plugin/plugin.py +++ b/src/plugins/built_in/social_toolkit_plugin/plugin.py @@ -195,7 +195,7 @@ class PokeAction(BaseAction): for i in range(times): logger.info(f"正在向 {display_name} ({user_id}) 发送第 {i + 1}/{times} 次戳一戳...") await self.send_command( - "SEND_POKE", args=poke_args + "SEND_POKE", args=poke_args, storage_message=False ) # 添加一个延迟，避免因发送过快导致后续戳一戳失败 await asyncio.sleep(1.5) diff --git a/src/plugins/built_in/tts_plugin/plugin.py b/src/plugins/built_in/tts_plugin/plugin.py index ed9bd5df1..c06f8f019 100644 --- a/src/plugins/built_in/tts_plugin/plugin.py +++ b/src/plugins/built_in/tts_plugin/plugin.py @@ -149,7 +149,7 @@ class TTSPlugin(BasePlugin): "plugin": { "name": ConfigField(type=str, default="tts_plugin", description="插件名称", required=True), "version": ConfigField(type=str, default="0.1.0", description="插件版本号"), - "enabled": ConfigField(type=bool, default=True, description="是否启用插件"), + "enabled": ConfigField(type=bool, default=False, description="是否启用插件"), "description": ConfigField(type=str, default="文字转语音插件", description="插件描述", required=True), }, "components": {"enable_tts": ConfigField(type=bool, default=True, description="是否启用TTS Action")}, diff --git a/src/plugins/built_in/tts_voice_plugin/LICENSE b/src/plugins/built_in/tts_voice_plugin/LICENSE deleted file mode 100644 index 0ad25db4b..000000000 --- a/src/plugins/built_in/tts_voice_plugin/LICENSE +++ /dev/null @@ -1,661 +0,0 @@ - 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There are many ways you could offer source, and different -solutions will be better for different programs; see section 13 for the -specific requirements. - - You should also get your employer (if you work as a programmer) or school, -if any, to sign a "copyright disclaimer" for the program, if necessary. -For more information on this, and how to apply and follow the GNU AGPL, see -. diff --git a/src/plugins/built_in/tts_voice_plugin/README.md b/src/plugins/built_in/tts_voice_plugin/README.md deleted file mode 100644 index b172bd39c..000000000 --- a/src/plugins/built_in/tts_voice_plugin/README.md +++ /dev/null @@ -1,82 +0,0 @@ -# GPT-SoVITS 语音合成插件（多风格版） - -## 简介 -本插件基于 GPT-SoVITS，实现文本转语音（TTS）功能，支持多种语音风格和多语言（中文/英文/日文）。适用于需要将文本内容以语音形式发送的场景，如语音回复、朗读长文本、增强表达效果等。 -(此版本适用于麦麦09x版) -## 功能特性 -- 支持多种语音风格（如默认、温柔等，可自定义扩展） -- 支持多语言自动检测与指定（zh/en/ja） -- 可配置参考音频、参考文本、模型权重等参数 -- 兼容多种聊天平台（如 QQ、Telegram 等） -- 关键词激活，灵活触发 - -## 安装与配置 -1. **拷贝插件文件夹**到你的插件目录下（如 `plugins/tts_voice_plugin/`）。 -2. **配置 `config.toml`**，参考下方配置示例： - -```toml -[plugin] -enabled = true -config_version = "1.0.0" - -[tts] -timeout = 30 -max_text_length = 500 -server = "http://127.0.0.1:9880" - -[tts_styles.default] -refer_wav = "" -prompt_text = "" -prompt_language = "zh" -gpt_weights = "" -sovits_weights = "" - -[tts_styles.gentle] -refer_wav = "" -prompt_text = "" -prompt_language = "zh" -gpt_weights = "" -sovits_weights = "" -``` - -- `server`：TTS 服务后端地址（需部署 GPT-SoVITS 服务） -- `tts_styles`：可自定义多种风格，每种风格可配置不同参考音频、文本、模型权重等 - -## 使用方法 -- 在聊天中输入关键词（如“语音”、“说话”、“朗读”、“voice”、“tts”等）即可触发语音合成功能 -- 可通过参数指定风格、语言、参考音频等 -- 支持自动检测文本语言 - -## 主要参数说明 -| 参数名 | 说明 | -|------------------|----------------------------| -| text | 要转换为语音的文本内容 | -| text_language | 文本语言（zh/en/ja） | -| refer_wav_path | 参考音频路径（可选） | -| prompt_text | 参考音频文本（可选） | -| prompt_language | 参考音频语言（可选） | -| voice_style | 语音风格（如 default/gentle）| - -## 扩展风格 -如需添加新风格，在 `config.toml` 的 `[tts_styles]` 下增加分组即可。例如： - -```toml -[tts_styles."活泼"] -refer_wav = "path/to/lively.wav" -prompt_text = "活泼的语气" -prompt_language = "zh" -gpt_weights = "" -sovits_weights = "" -``` - -## 依赖 -- Python 3.7+ -- aiohttp -- GPT-SoVITS 服务端 - -## 作者 -- 插件作者：靓仔 -- 插件版本：1.0.0 - -## License -AGPL-3.0 diff --git a/src/plugins/built_in/tts_voice_plugin/__init__.py b/src/plugins/built_in/tts_voice_plugin/__init__.py deleted file mode 100644 index 463dcc244..000000000 --- a/src/plugins/built_in/tts_voice_plugin/__init__.py +++ /dev/null @@ -1,18 +0,0 @@ -from src.plugin_system.base.plugin_metadata import PluginMetadata - -__plugin_meta__ = PluginMetadata( - name="GPT-SoVITS 语音合成插件", - description="基于 GPT-SoVITS 的文本转语音插件，支持多种语言和多风格语音合成。", - usage=" ", - version="2.0.0", - author="靓仔", - license="AGPL-v3.0", - repository_url="https://github.com/xuqian13/tts_voice_plugin", - keywords=["tts", "语音合成", "文本转语音", "gpt-sovits", "语音", "朗读", "多风格", "语音播报"], - categories=["Utility", "Communication", "Accessibility"], - extra={ - "is_built_in": False, - "plugin_type": "tools", - }, - python_dependencies = ["aiohttp", "soundfile", "pedalboard"] -) diff --git a/src/plugins/built_in/tts_voice_plugin/actions/tts_action.py b/src/plugins/built_in/tts_voice_plugin/actions/tts_action.py deleted file mode 100644 index 8e10418a8..000000000 --- a/src/plugins/built_in/tts_voice_plugin/actions/tts_action.py +++ /dev/null @@ -1,269 +0,0 @@ -""" -TTS 语音合成 Action -""" - -from pathlib import Path -from typing import ClassVar - -import toml - -from src.chat.utils.self_voice_cache import register_self_voice -from src.common.logger import get_logger -from src.plugin_system.base.base_action import BaseAction, ChatMode - -from ..services.manager import get_service - -logger = get_logger("tts_voice_plugin.action") - - -class TTSVoiceAction(BaseAction): - """ - 通过关键词或规划器自动触发 TTS 语音合成 - """ - - action_name = "tts_voice_action" - action_description = "将你生成好的文本转换为语音并发送。注意：这是纯语音合成，只能说话，不能唱歌！" - - mode_enable = ChatMode.ALL - parallel_action = False - - action_parameters: ClassVar[dict] = { - "tts_voice_text": { - "type": "string", - "description": "需要转换为语音并发送的完整、自然、适合口语的文本内容。注意：只能是说话内容，不能是歌词或唱歌！", - "required": True - }, - "voice_style": { - "type": "string", - "description": "语音的风格。请根据对话的情感和上下文选择一个最合适的风格。如果未提供，将使用默认风格。", - "required": False - }, - "text_language": { - "type": "string", - "description": ( - "指定用于合成的语言模式，请务必根据文本内容选择最精确、范围最小的选项以获得最佳效果。" - "可用选项说明：\n" - "- 'zh': 中文与英文混合 (最优选)\n" - "- 'ja': 日文与英文混合 (最优选)\n" - "- 'yue': 粤语与英文混合 (最优选)\n" - "- 'ko': 韩文与英文混合 (最优选)\n" - "- 'en': 纯英文\n" - "- 'all_zh': 纯中文\n" - "- 'all_ja': 纯日文\n" - "- 'all_yue': 纯粤语\n" - "- 'all_ko': 纯韩文\n" - "- 'auto': 多语种混合自动识别 (备用选项，当前两种语言时优先使用上面的精确选项)\n" - "- 'auto_yue': 多语种混合自动识别（包含粤语）(备用选项)" - ), - "required": False - } - } - - action_require: ClassVar[list] = [ - "【核心限制】此动作只能用于说话，绝对不能用于唱歌！TTS无法发出有音调的歌声，只会输出平淡的念白。如果用户要求唱歌，不要使用此动作！", - "在调用此动作时，你必须在 'tts_voice_text' 参数中提供要合成语音的完整回复内容。这是强制性的。", - "当用户明确请求使用语音进行回复时，例如'发个语音听听'、'用语音说'等。", - "当对话内容适合用语音表达，例如讲故事、念诗、撒嬌或进行角色扮演时。", - "在表达特殊情感（如安慰、鼓励、庆祝）的场景下，可以主动使用语音来增强感染力。", - "不要在日常的、简短的问答或闲聊中频繁使用语音，避免打扰用户。", - "提供的 'tts_voice_text' 内容必须是纯粹的对话，不能包含任何括号或方括号括起来的动作、表情、或场景描述（例如，不要出现 '(笑)' 或 '[歪头]'）", - "**重要**：此动作专为语音合成设计，因此 'tts_voice_text' 参数的内容必须是纯净、标准的口语文本。请务必抑制你通常的、富有表现力的文本风格，不要使用任何辅助聊天或增强视觉效果的特殊符号（例如 '♪', '～', '∽', '☆' 等），因为它们无法被正确合成为语音。", - "【**最终规则**】'tts_voice_text' 参数中，所有句子和停顿【必须】使用且只能使用以下四个标准标点符号：'，' (逗号)、'。' (句号)、'？' (问号)、'！' (叹号)。任何其他符号，特别是 '...'、'～' 以及任何表情符号或装饰性符号，都【严禁】出现，否则将导致语音合成严重失败。" - ] - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - # 关键配置项现在由 TTSService 管理 - self.tts_service = get_service("tts") - - # 动态更新 voice_style 参数描述（包含可用风格） - self._update_voice_style_parameter() - - def _update_voice_style_parameter(self): - """动态更新 voice_style 参数描述，包含实际可用的风格选项""" - try: - available_styles = self._get_available_styles_safe() - if available_styles: - styles_list = "、".join(available_styles) - updated_description = ( - f"语音的风格。请根据对话的情感和上下文选择一个最合适的风格。" - f"当前可用风格：{styles_list}。如果未提供，将使用默认风格。" - ) - # 更新实例的参数描述 - self.action_parameters["voice_style"]["description"] = updated_description - logger.debug(f"{self.log_prefix} 已更新语音风格参数描述，包含 {len(available_styles)} 个可用风格") - else: - logger.warning(f"{self.log_prefix} 无法获取可用语音风格，使用默认参数描述") - except Exception as e: - logger.error(f"{self.log_prefix} 更新语音风格参数时出错: {e}") - - def _get_available_styles_safe(self) -> list[str]: - """安全地获取可用语音风格列表""" - try: - # 首先尝试从TTS服务获取 - if hasattr(self.tts_service, "get_available_styles"): - styles = self.tts_service.get_available_styles() - if styles: - return styles - - # 回退到直接读取配置文件 - plugin_file = Path(__file__).resolve() - bot_root = plugin_file.parent.parent.parent.parent.parent.parent - config_file = bot_root / "config" / "plugins" / "tts_voice_plugin" / "config.toml" - - if config_file.exists(): - with open(config_file, encoding="utf-8") as f: - config = toml.load(f) - styles_config = config.get("tts_styles", []) - - if isinstance(styles_config, list): - style_names = [] - for style in styles_config: - if isinstance(style, dict): - name = style.get("style_name") - if isinstance(name, str) and name: - style_names.append(name) - return style_names if style_names else ["default"] - except Exception as e: - logger.debug(f"{self.log_prefix} 获取可用语音风格时出错: {e}") - - return ["default"] # 安全回退 - - @classmethod - def get_action_info(cls) -> "ActionInfo": - """重写获取Action信息的方法，动态更新参数描述""" - # 先调用父类方法获取基础信息 - info = super().get_action_info() - - # 尝试动态更新 voice_style 参数描述 - try: - # 尝试获取可用风格（不创建完整实例） - available_styles = cls._get_available_styles_for_info() - if available_styles: - styles_list = "、".join(available_styles) - updated_description = ( - f"语音的风格。请根据对话的情感和上下文选择一个最合适的风格。" - f"当前可用风格：{styles_list}。如果未提供，将使用默认风格。" - ) - # 更新参数描述 - info.action_parameters["voice_style"]["description"] = updated_description - except Exception as e: - logger.debug(f"[TTSVoiceAction] 在获取Action信息时更新参数描述失败: {e}") - - return info - - @classmethod - def _get_available_styles_for_info(cls) -> list[str]: - """为 get_action_info 方法获取可用风格（类方法版本）""" - try: - # 构建配置文件路径 - plugin_file = Path(__file__).resolve() - bot_root = plugin_file.parent.parent.parent.parent.parent.parent - config_file = bot_root / "config" / "plugins" / "tts_voice_plugin" / "config.toml" - - if config_file.exists(): - with open(config_file, encoding="utf-8") as f: - config = toml.load(f) - styles_config = config.get("tts_styles", []) - - if isinstance(styles_config, list): - style_names = [] - for style in styles_config: - if isinstance(style, dict): - name = style.get("style_name") - if isinstance(name, str) and name: - style_names.append(name) - return style_names if style_names else ["default"] - except Exception: - pass - - return ["default"] # 安全回退 - - async def go_activate(self, llm_judge_model=None) -> bool: - """ - 判断此 Action 是否应该被激活。 - 满足以下任一条件即可激活： - 1. 55% 的随机概率 - 2. 匹配到预设的关键词 - 3. LLM 判断当前场景适合发送语音 - """ - # 条件1: 随机激活 - if await self._random_activation(0.25): - logger.info(f"{self.log_prefix} 随机激活成功 (25%)") - return True - - # 条件2: 关键词激活 - keywords = [ - "发语音", "语音", "说句话", "用语音说", "听你", "听声音", "想你", "想听声音", - "讲个话", "说段话", "念一下", "读一下", "用嘴说", "说", "能发语音吗", "亲口" - ] - if await self._keyword_match(keywords): - logger.info(f"{self.log_prefix} 关键词激活成功") - return True - - # 条件3: LLM 判断激活 - # 注意：这里我们复用 action_require 里的描述，让 LLM 的判断更精准 - if await self._llm_judge_activation( - llm_judge_model=llm_judge_model - ): - logger.info(f"{self.log_prefix} LLM 判断激活成功") - return True - - logger.debug(f"{self.log_prefix} 所有激活条件均未满足，不激活") - return False - - async def execute(self) -> tuple[bool, str]: - """ - 执行 Action 的核心逻辑 - """ - try: - if not self.tts_service: - logger.error(f"{self.log_prefix} TTSService 未注册或初始化失败，静默处理。") - return False, "TTSService 未注册或初始化失败" - - initial_text = self.action_data.get("tts_voice_text", "").strip() - voice_style = self.action_data.get("voice_style", "default") - # 新增：从决策模型获取指定的语言模式 - text_language = self.action_data.get("text_language") # 如果模型没给，就是 None - logger.info(f"{self.log_prefix} 接收到规划器初步文本: '{initial_text[:70]}...', 指定风格: {voice_style}, 指定语言: {text_language}") - - # 1. 使用规划器提供的文本 - text = initial_text - if not text: - logger.warning(f"{self.log_prefix} 规划器提供的文本为空，静默处理。") - return False, "规划器提供的文本为空" - - # 2. 调用 TTSService 生成语音 - logger.info(f"{self.log_prefix} 使用最终文本进行语音合成: '{text[:70]}...'") - audio_b64 = await self.tts_service.generate_voice( - text=text, - style_hint=voice_style, - language_hint=text_language # 新增：将决策模型指定的语言传递给服务 - ) - - if audio_b64: - # 在发送语音前，将文本注册到缓存中 - register_self_voice(audio_b64, text) - await self.send_custom(message_type="voice", content=audio_b64) - logger.info(f"{self.log_prefix} GPT-SoVITS语音发送成功") - await self.store_action_info( - action_prompt_display=f"将文本转换为语音并发送 (风格:{voice_style})", - action_done=True - ) - return True, f"成功生成并发送语音，文本长度: {len(text)}字符" - else: - logger.error(f"{self.log_prefix} TTS服务未能返回音频数据，静默处理。") - await self.store_action_info( - action_prompt_display="语音合成失败: TTS服务未能返回音频数据", - action_done=False - ) - return False, "语音合成失败" - - except Exception as e: - logger.error(f"{self.log_prefix} 语音合成过程中发生未知错误: {e!s}") - await self.store_action_info( - action_prompt_display=f"语音合成失败: {e!s}", - action_done=False - ) - return False, f"语音合成出错: {e!s}" - diff --git a/src/plugins/built_in/tts_voice_plugin/commands/tts_command.py b/src/plugins/built_in/tts_voice_plugin/commands/tts_command.py deleted file mode 100644 index 6b9cceeb2..000000000 --- a/src/plugins/built_in/tts_voice_plugin/commands/tts_command.py +++ /dev/null @@ -1,76 +0,0 @@ -""" -TTS 语音合成命令 -""" -from typing import ClassVar - -from src.common.logger import get_logger -from src.plugin_system.base.command_args import CommandArgs -from src.plugin_system.base.plus_command import PlusCommand -from src.plugin_system.utils.permission_decorators import require_permission - -from ..services.manager import get_service - -logger = get_logger("tts_voice_plugin.command") - - -class TTSVoiceCommand(PlusCommand): - """ - 通过命令手动触发 TTS 语音合成 - """ - - command_name: str = "tts" - command_description: str = "使用GPT-SoVITS将文本转换为语音并发送" - command_aliases: ClassVar[list[str]] = ["语音合成", "说"] - command_usage = "/tts <要说的文本> [风格]" - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - @require_permission("plugin.tts_voice_plugin.command.use") - async def execute(self, args: CommandArgs) -> tuple[bool, str, bool]: - """ - 执行命令的核心逻辑 - """ - all_args = args.get_args() - if not all_args: - await self.send_text("请提供要转换为语音的文本内容哦！") - return False, "缺少文本参数", True - - try: - tts_service = get_service("tts") - if not tts_service: - raise RuntimeError("TTSService 未注册或初始化失败") - - # 获取可用风格列表 - available_styles = tts_service.tts_styles.keys() - - text_to_speak = "" - style_hint = "default" - - # 检查最后一个参数是否是有效的风格 - if len(all_args) > 1 and all_args[-1] in available_styles: - style_hint = all_args[-1] - text_to_speak = " ".join(all_args[:-1]) - else: - # 如果最后一个参数不是风格，则全部都是文本 - text_to_speak = " ".join(all_args) - # 保持默认风格，让 service 层决定是否需要情感分析 - style_hint = "default" - - if not text_to_speak: - await self.send_text("请提供要转换为语音的文本内容哦！") - return False, "文本内容为空", True - - audio_b64 = await tts_service.generate_voice(text_to_speak, style_hint) - - if audio_b64: - await self.send_type(message_type="voice", content=audio_b64) - return True, "语音发送成功", True - else: - await self.send_text("❌ 语音合成失败，请检查服务状态或配置。") - return False, "语音合成失败", True - - except Exception as e: - logger.error(f"执行 /tts 命令时出错: {e}") - await self.send_text("❌ 语音合成时发生了意想不到的错误，请查看日志。") - return False, "命令执行异常", True diff --git a/src/plugins/built_in/tts_voice_plugin/plugin.py b/src/plugins/built_in/tts_voice_plugin/plugin.py deleted file mode 100644 index ce3baff4a..000000000 --- a/src/plugins/built_in/tts_voice_plugin/plugin.py +++ /dev/null @@ -1,217 +0,0 @@ -""" -TTS Voice 插件 - 重构版 -""" -from pathlib import Path -from typing import Any, ClassVar - -import toml - -from src.common.logger import get_logger -from src.plugin_system import BasePlugin, ComponentInfo, register_plugin -from src.plugin_system.base.component_types import PermissionNodeField - -from .actions.tts_action import TTSVoiceAction -from .commands.tts_command import TTSVoiceCommand -from .services.manager import register_service -from .services.tts_service import TTSService - -logger = get_logger("tts_voice_plugin") - - -@register_plugin -class TTSVoicePlugin(BasePlugin): - """ - GPT-SoVITS 语音合成插件 - 重构版 - """ - - plugin_name = "tts_voice_plugin" - plugin_description = "基于GPT-SoVITS的文本转语音插件（重构版）" - plugin_version = "3.1.2" - plugin_author = "Kilo Code & 靚仔" - # enable_plugin 应该由配置文件控制，不在此处硬编码 - config_file_name = "config.toml" - dependencies: ClassVar[list[str]] = [] - - permission_nodes: ClassVar[list[PermissionNodeField]] = [ - PermissionNodeField(node_name="command.use", description="是否可以使用 /tts 命令"), - ] - - config_schema: ClassVar[dict] = {} - - config_section_descriptions: ClassVar[dict] = { - "plugin": "插件基本配置", - "components": "组件启用控制", - "tts": "TTS语音合成基础配置", - "tts_advanced": "TTS高级参数配置（语速、采样、批处理等）", - "tts_styles": "TTS风格参数配置（每个分组为一种风格）" - } - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self.tts_service = None - - def _create_default_config(self, config_file: Path): - """ - 如果配置文件不存在，则创建一个默认的配置文件。 - """ - if config_file.is_file(): - return - - logger.info(f"TTS 配置文件不存在，正在创建默认配置文件于: {config_file}") - - default_config_content = """# 插件基础配置 -[plugin] -enable = false -keywords = [ - "发语音", "语音", "说句话", "用语音说", "听你", "听声音", "想听你", "想听声音", - "讲个话", "说段话", "念一下", "读一下", "用嘴说", "说", "能发语音吗","亲口" -] - -# 组件启用控制 -[components] -action_enabled = true -command_enabled = true - -# TTS 语音合成基础配置 -[tts] -server = "http://127.0.0.1:9880" -timeout = 180 -max_text_length = 1000 - -# TTS 风格参数配置 -# 每个 [[tts_styles]] 代表一个独立的语音风格配置 -[[tts_styles]] -# 风格的唯一标识符，必须有一个名为 "default" -style_name = "default" -# 显示名称 -name = "默认" -# 参考音频路径 -refer_wav_path = "C:/path/to/your/reference.wav" -# 参考音频文本 -prompt_text = "这是一个示例文本，请替换为您自己的参考音频文本。" -# 参考音频语言 -prompt_language = "zh" -# GPT 模型路径 -gpt_weights = "C:/path/to/your/gpt_weights.ckpt" -# SoVITS 模型路径 -sovits_weights = "C:/path/to/your/sovits_weights.pth" -# 语速 -speed_factor = 1.0 - -# TTS 高级参数配置 -[tts_advanced] -media_type = "wav" -top_k = 9 -top_p = 0.8 -temperature = 0.8 -batch_size = 6 -batch_threshold = 0.75 -text_split_method = "cut5" -repetition_penalty = 1.4 -sample_steps = 150 -super_sampling = true - -# 空间音效配置 -[spatial_effects] - -# 是否启用空间音效处理 -enabled = false - -# 是否启用标准混响效果 -reverb_enabled = false - -# 混响的房间大小 (建议范围 0.0-1.0) -room_size = 0.2 - -# 混响的阻尼/高频衰减 (建议范围 0.0-1.0) -damping = 0.6 - -# 混响的湿声（效果声）比例 (建议范围 0.0-1.0) -wet_level = 0.3 - -# 混响的干声（原声）比例 (建议范围 0.0-1.0) -dry_level = 0.8 - -# 混响的立体声宽度 (建议范围 0.0-1.0) -width = 1.0 - -# 是否启用卷积混响（需要assets/small_room_ir.wav文件） -convolution_enabled = false - -# 卷积混响的干湿比 (建议范围 0.0-1.0) -convolution_mix = 0.7 -""" - - try: - config_file.parent.mkdir(parents=True, exist_ok=True) - with open(config_file, "w", encoding="utf-8") as f: - f.write(default_config_content.strip()) - logger.info("默认 TTS 配置文件创建成功。") - except Exception as e: - logger.error(f"创建默认 TTS 配置文件失败: {e}") - - def _get_config_wrapper(self, key: str, default: Any = None) -> Any: - """ - 配置获取的包装器，用于解决 get_config 无法直接获取动态表（如 tts_styles）和未在 schema 中定义的节的问题。 - 由于插件系统的 schema 为空时不会加载未定义的键，这里手动读取配置文件以获取所需配置。 - """ - # 需要手动加载的顶级配置节 - manual_load_keys = ["tts_styles", "spatial_effects", "tts_advanced", "tts"] - top_key = key.split(".")[0] - - if top_key in manual_load_keys: - try: - plugin_file = Path(__file__).resolve() - bot_root = plugin_file.parent.parent.parent.parent.parent - config_file = bot_root / "config" / "plugins" / self.plugin_name / self.config_file_name - - if not config_file.is_file(): - logger.error(f"TTS config file not found at robustly constructed path: {config_file}") - return default - - full_config = toml.loads(config_file.read_text(encoding="utf-8")) - - # 支持点状路径访问 - value = full_config - for k in key.split("."): - if isinstance(value, dict): - value = value.get(k) - else: - return default - - return value if value is not None else default - - except Exception as e: - logger.error(f"Failed to manually load '{key}' from config: {e}") - return default - - return self.get_config(key, default) - - async def on_plugin_loaded(self): - """ - 插件加载完成后的回调，初始化并注册服务。 - """ - logger.info("初始化 TTSVoicePlugin...") - - plugin_file = Path(__file__).resolve() - bot_root = plugin_file.parent.parent.parent.parent.parent - config_file = bot_root / "config" / "plugins" / self.plugin_name / self.config_file_name - self._create_default_config(config_file) - - # 实例化 TTSService，并传入 get_config 方法 - self.tts_service = TTSService(self._get_config_wrapper) - - # 注册服务 - register_service("tts", self.tts_service) - logger.info("TTSService 已成功初始化并注册。") - - def get_plugin_components(self) -> list[tuple[ComponentInfo, type]]: - """ - 返回插件包含的组件列表。 - """ - components = [] - if self.get_config("components.action_enabled", True): - components.append((TTSVoiceAction.get_action_info(), TTSVoiceAction)) - if self.get_config("components.command_enabled", True): - components.append((TTSVoiceCommand.get_plus_command_info(), TTSVoiceCommand)) - return components diff --git a/src/plugins/built_in/tts_voice_plugin/services/manager.py b/src/plugins/built_in/tts_voice_plugin/services/manager.py deleted file mode 100644 index 661a1c6bf..000000000 --- a/src/plugins/built_in/tts_voice_plugin/services/manager.py +++ /dev/null @@ -1,19 +0,0 @@ -""" -服务管理器 - -用于注册和获取插件内部使用的服务实例。 -""" - -from typing import Any - -_services: dict[str, Any] = {} - - -def register_service(name: str, instance: Any) -> None: - """注册一个服务实例""" - _services[name] = instance - - -def get_service(name: str) -> Any: - """获取一个已注册的服务实例""" - return _services.get(name) diff --git a/src/plugins/built_in/tts_voice_plugin/services/tts_service.py b/src/plugins/built_in/tts_voice_plugin/services/tts_service.py deleted file mode 100644 index eed12d8dd..000000000 --- a/src/plugins/built_in/tts_voice_plugin/services/tts_service.py +++ /dev/null @@ -1,344 +0,0 @@ -""" -TTS 核心服务 -""" -import asyncio -import base64 -import io -import os -import re -from collections.abc import Callable -from typing import Any - -import aiohttp -import soundfile as sf -from pedalboard import Convolution, Pedalboard, Reverb -from pedalboard.io import AudioFile - -from src.common.logger import get_logger - -logger = get_logger("tts_voice_plugin.service") - - -class TTSService: - """封装了TTS合成的核心逻辑""" - - def __init__(self, get_config_func: Callable[[str, Any], Any]): - self.get_config = get_config_func - self.tts_styles: dict[str, Any] = {} - self.timeout: int = 60 - self.max_text_length: int = 500 - self._load_config() - - def _load_config(self) -> None: - """加载插件配置""" - try: - self.timeout = self.get_config("tts.timeout", 60) - self.max_text_length = self.get_config("tts.max_text_length", 500) - self.tts_styles = self._load_tts_styles() - - if self.tts_styles: - logger.info(f"TTS服务已成功加载风格: {list(self.tts_styles.keys())}") - else: - logger.warning("TTS风格配置为空，请检查配置文件") - except Exception as e: - logger.error(f"TTS服务配置加载失败: {e}") - - def _load_tts_styles(self) -> dict[str, dict[str, Any]]: - """加载 TTS 风格配置""" - styles = {} - global_server = self.get_config("tts.server", "http://127.0.0.1:9880") - tts_styles_config = self.get_config("tts_styles", []) - - if not isinstance(tts_styles_config, list): - logger.error(f"tts_styles 配置不是一个列表, 而是 {type(tts_styles_config)}") - return styles - - default_cfg = next((s for s in tts_styles_config if s.get("style_name") == "default"), None) - if not default_cfg: - logger.error("在 tts_styles 配置中未找到 'default' 风格，这是必需的。") - return styles - - default_refer_wav = default_cfg.get("refer_wav_path", "") - default_prompt_text = default_cfg.get("prompt_text", "") - default_gpt_weights = default_cfg.get("gpt_weights", "") - default_sovits_weights = default_cfg.get("sovits_weights", "") - - if not default_refer_wav: - logger.warning("TTS 'default' style is missing 'refer_wav_path'.") - - for style_cfg in tts_styles_config: - if not isinstance(style_cfg, dict): - - continue - - style_name = style_cfg.get("style_name") - if not style_name: - - continue - - styles[style_name] = { - "url": global_server, - "name": style_cfg.get("name", style_name), - "refer_wav_path": style_cfg.get("refer_wav_path", default_refer_wav), - "prompt_text": style_cfg.get("prompt_text", default_prompt_text), - "prompt_language": style_cfg.get("prompt_language", "zh"), - "gpt_weights": style_cfg.get("gpt_weights", default_gpt_weights), - "sovits_weights": style_cfg.get("sovits_weights", default_sovits_weights), - "speed_factor": style_cfg.get("speed_factor"), - "text_language": style_cfg.get("text_language", "auto"), # 新增：读取文本语言模式 - } - return styles - - def _determine_final_language(self, text: str, mode: str) -> str: - """根据配置的语言策略和文本内容，决定最终发送给API的语言代码""" - # 如果策略是具体的语言（如 all_zh, ja），直接使用 - if mode not in ["auto", "auto_yue"]: - return mode - - # 对于 auto 和 auto_yue 策略，进行内容检测 - # 优先检测粤语 - if mode == "auto_yue": - cantonese_keywords = ["嘅", "喺", "咗", "唔", "係", "啲", "咩", "乜", "喂"] - if any(keyword in text for keyword in cantonese_keywords): - logger.info("在 auto_yue 模式下检测到粤语关键词，最终语言: yue") - return "yue" - - # 检测日语（简单启发式规则） - japanese_chars = len(re.findall(r"[\u3040-\u309f\u30a0-\u30ff]", text)) - if japanese_chars > 5 and japanese_chars > len(re.findall(r"[\u4e00-\u9fff]", text)) * 0.5: - logger.info("检测到日语字符，最终语言: ja") - return "ja" - - # 默认回退到中文 - logger.info(f"在 {mode} 模式下未检测到特定语言，默认回退到: zh") - return "zh" - - def _clean_text_for_tts(self, text: str) -> str: - # 1. 基本清理 - text = re.sub(r"[\(（\[【].*?[\)）\]】]", "", text) - text = re.sub(r"([，。！？、；：,.!?;:~\-`])\1+", r"\1", text) - text = re.sub(r"~{2,}|～{2,}", "，", text) - text = re.sub(r"\.{3,}|…{1,}", "。", text) - - # 2. 词语替换 - replacements = {"www": "哈哈哈", "hhh": "哈哈", "233": "哈哈", "666": "厉害", "88": "拜拜"} - for old, new in replacements.items(): - text = text.replace(old, new) - - # 3. 移除不必要的字符 (恢复使用更安全的原版正则，避免误删) - text = re.sub(r"[^\u4e00-\u9fff\u3040-\u309f\u30a0-\u30ffa-zA-Z0-9\s，。！？、；：,.!?;:~～]", "", text) - - # 4. 确保结尾有标点 - if text and not text.endswith(tuple("，。！？、；：,.!?;:")): - text += "。" - - # 5. 智能截断 (保留改进的截断逻辑) - if len(text) > self.max_text_length: - cut_text = text[:self.max_text_length] - punctuation = "。！？.…" - last_punc_pos = max(cut_text.rfind(p) for p in punctuation) - - if last_punc_pos != -1: - text = cut_text[:last_punc_pos + 1] - else: - last_comma_pos = max(cut_text.rfind(p) for p in "，、；,;") - if last_comma_pos != -1: - text = cut_text[:last_comma_pos + 1] - else: - text = cut_text - - return text.strip() - - async def _call_tts_api(self, server_config: dict, text: str, text_language: str, **kwargs) -> bytes | None: - """ - 最终修复版：先切换模型，然后仅通过路径发送合成请求。 - """ - ref_wav_path = kwargs.get("refer_wav_path") - if not ref_wav_path: - logger.error(f"API 调用失败：缺少 refer_wav_path。当前风格配置: {server_config}") - return None - try: - base_url = server_config["url"].rstrip("/") - - # --- 步骤一：像稳定版一样，先切换模型 --- - async def switch_model_weights(weights_path: str | None, weight_type: str): - if not weights_path: - - return - api_endpoint = f"/set_{weight_type}_weights" - switch_url = f"{base_url}{api_endpoint}" - try: - async with aiohttp.ClientSession(timeout=aiohttp.ClientTimeout(total=self.timeout)) as session: - async with session.get(switch_url, params={"weights_path": weights_path}) as resp: - if resp.status != 200: - error_text = await resp.text() - logger.error(f"切换 {weight_type} 模型失败: {resp.status} - {error_text}") - else: - logger.info(f"成功切换 {weight_type} 模型为: {weights_path}") - except Exception as e: - logger.error(f"请求切换 {weight_type} 模型时发生网络异常: {e}") - - await switch_model_weights(kwargs.get("gpt_weights"), "gpt") - await switch_model_weights(kwargs.get("sovits_weights"), "sovits") - - # --- 步骤二：构建纯净的、不含Base64的请求数据 --- - data = { - "text": text, - "text_lang": text_language, - "ref_audio_path": ref_wav_path, - "prompt_text": kwargs.get("prompt_text", ""), - "prompt_lang": kwargs.get("prompt_language", "zh"), - # 在稳定版中，这两个参数是通过API切换的，而不是直接放在请求体里 - # "gpt_model_path": kwargs.get("gpt_weights"), - # "sovits_model_path": kwargs.get("sovits_weights"), - } - - # 合并高级配置 - advanced_config = self.get_config("tts_advanced", {}) - if isinstance(advanced_config, dict): - data.update({k: v for k, v in advanced_config.items() if v is not None}) - - # 优先使用风格特定的语速 - if server_config.get("speed_factor") is not None: - data["speed_factor"] = server_config["speed_factor"] - - # --- 步骤三：发送最终的合成请求 --- - tts_url = base_url if base_url.endswith("/tts") else f"{base_url}/tts" - logger.info(f"发送到 TTS API 的数据: {data}") - - async with aiohttp.ClientSession() as session: - async with session.post(tts_url, json=data, timeout=aiohttp.ClientTimeout(total=self.timeout)) as response: - if response.status == 200: - return await response.read() - else: - error_info = await response.text() - logger.error(f"TTS API调用失败: {response.status} - {error_info}") - return None - except asyncio.TimeoutError: - logger.error("TTS服务请求超时") - return None - except Exception as e: - logger.error(f"TTS API调用异常: {e}") - return None - - async def _apply_spatial_audio_effect(self, audio_data: bytes) -> bytes | None: - """根据配置应用空间效果（混响和卷积）""" - try: - effects_config = self.get_config("spatial_effects", {}) - if not effects_config.get("enabled", False): - - return audio_data - - # 获取插件目录和IR文件路径 - # 基于 __file__ 构建稳健的、独立于当前工作目录的路径 - plugin_file = os.path.abspath(__file__) - # services -> tts_voice_plugin -> plugins -> Bot - bot_root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(plugin_file)))) - ir_path = os.path.join(bot_root, "assets", "small_room_ir.wav") - - effects = [] - - # 根据配置添加Reverb效果 - if effects_config.get("reverb_enabled", False): - effects.append(Reverb( - room_size=effects_config.get("room_size", 0.15), - damping=effects_config.get("damping", 0.5), - wet_level=effects_config.get("wet_level", 0.33), - dry_level=effects_config.get("dry_level", 0.4), - width=effects_config.get("width", 1.0) - )) - - # 根据配置添加Convolution效果 - if effects_config.get("convolution_enabled", False) and os.path.exists(ir_path): - effects.append(Convolution( - impulse_response_filename=ir_path, - mix=effects_config.get("convolution_mix", 0.5) - )) - elif effects_config.get("convolution_enabled"): - logger.warning(f"卷积混响已启用，但IR文件不存在 ({ir_path})，跳过该效果。") - - if not effects: - - - return audio_data - - # 将原始音频数据加载到内存中的 AudioFile 对象 - with io.BytesIO(audio_data) as audio_stream: - with AudioFile(audio_stream, "r") as f: - board = Pedalboard(effects) - effected = board(f.read(f.frames), f.samplerate) - - # 将处理后的音频数据写回内存中的字节流 - with io.BytesIO() as output_stream: - # 使用 soundfile 写入，因为它更稳定 - sf.write(output_stream, effected.T, f.samplerate, format="WAV") - processed_audio_data = output_stream.getvalue() - - logger.info("成功应用空间效果。") - return processed_audio_data - - except Exception as e: - logger.error(f"应用空间效果时出错: {e}") - return audio_data # 如果出错，返回原始音频 - - async def generate_voice(self, text: str, style_hint: str = "default", language_hint: str | None = None) -> str | None: - self._load_config() - - if not self.tts_styles: - logger.error("TTS风格配置为空，无法生成语音。") - return None - - style = style_hint if style_hint in self.tts_styles else "default" - if style not in self.tts_styles: - if "default" in self.tts_styles: - style = "default" - logger.warning(f"指定风格 '{style_hint}' 不存在，自动回退到: 'default'") - elif self.tts_styles: - style = next(iter(self.tts_styles)) - logger.warning(f"指定风格 '{style_hint}' 和 'default' 均不存在，自动回退到第一个可用风格: {style}") - else: - logger.error("没有任何可用的TTS风格配置") - return None - - server_config = self.tts_styles[style] - clean_text = self._clean_text_for_tts(text) - if not clean_text: - - return None - - # 语言决策流程： - # 1. 优先使用决策模型直接指定的 language_hint (最高优先级) - if language_hint: - final_language = language_hint - logger.info(f"使用决策模型指定的语言: {final_language}") - else: - # 2. 如果模型未指定，则使用风格配置的 language_policy - language_policy = server_config.get("text_language", "auto") - final_language = self._determine_final_language(clean_text, language_policy) - logger.info(f"决策模型未指定语言，使用策略 '{language_policy}' -> 最终语言: {final_language}") - - logger.info(f"开始TTS语音合成，文本：{clean_text[:50]}..., 风格：{style}, 最终语言: {final_language}") - - audio_data = await self._call_tts_api( - server_config=server_config, text=clean_text, text_language=final_language, - refer_wav_path=server_config.get("refer_wav_path"), - prompt_text=server_config.get("prompt_text"), - prompt_language=server_config.get("prompt_language"), - gpt_weights=server_config.get("gpt_weights"), - sovits_weights=server_config.get("sovits_weights"), - ) - - if audio_data: - # 检查是否启用空间音频效果 - spatial_config = self.get_config("spatial_effects", {}) - if spatial_config.get("enabled", False): - logger.info("检测到已启用空间音频效果，开始处理...") - processed_audio = await self._apply_spatial_audio_effect(audio_data) - if processed_audio: - logger.info("空间音频效果应用成功！") - audio_data = processed_audio - else: - logger.warning("空间音频效果应用失败，将使用原始音频。") - - return base64.b64encode(audio_data).decode("utf-8") - return None