Merge branch 'main' into py_test

This commit is contained in:
CGD
2025-05-14 14:52:57 +08:00
committed by GitHub
41 changed files with 1205 additions and 255 deletions
+72
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@@ -0,0 +1,72 @@
登录AutoDL,租赁镜像
选择镜像:
```
PyTorch / 2.1.0 / 3.10(ubuntu22.04) / cuda 12.1
```
机器开机后,设置学术加速
```
source /etc/network_turbo
```
进入工作目录
```
cd autodl-tmp/
```
拉取项目
```
git clone https://gitclone.com/github.com/fishaudio/fish-speech.git ; cd fish-speech
```
安装依赖
```
pip install -e.
```
如果报错,安装portaudio
```
apt-get install portaudio19-dev -y
```
安装后执行
```
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
```
下载模型
```
cd tools
python download_models.py
```
下载完模型后运行接口
```
python -m tools.api_server --listen 0.0.0.0:6006
```
然后用浏览器去到aotodl实例页面
```
https://autodl.com/console/instance/list
```
如下图点击你刚才机器的`自定义服务`按钮,开启端口转发服务
![自定义服务](images/fishspeech/autodl-01.png)
端口转发服务设置完成后,你本地电脑打开网址`http://localhost:6006/`,就可以访问fish-speech的接口了
![服务预览](images/fishspeech/autodl-02.png)
如果你是单模块部署,核心配置如下
```
selected_module:
TTS: FishSpeech
TTS:
FishSpeech:
reference_audio: ["config/assets/wakeup_words.wav",]
reference_text: ["哈啰啊,我是小智啦,声音好听的台湾女孩一枚,超开心认识你耶,最近在忙啥,别忘了给我来点有趣的料哦,我超爱听八卦的啦",]
api_key: "123"
api_url: "http://127.0.0.1:6006/v1/tts"
```
然后重启服务
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@@ -1,5 +1,7 @@
package xiaozhi.common.constant;
import lombok.Getter;
/**
* 常量
* Copyright (c) 人人开源 All rights reserved.
@@ -109,6 +111,11 @@ public interface Constant {
*/
String FILE_EXTENSION_SEG = ".";
/**
* 无记忆
*/
String MEMORY_NO_MEM = "Memory_nomem";
enum SysBaseParam {
/**
* 系统全称
@@ -174,8 +181,23 @@ public interface Constant {
}
}
@Getter
enum ChatHistoryConfEnum {
IGNORE(0, "不记录"),
RECORD_TEXT(1, "记录文本"),
RECORD_TEXT_AUDIO(2, "文本音频都记录");
private final int code;
private final String name;
ChatHistoryConfEnum(int code, String name) {
this.code = code;
this.name = name;
}
}
/**
* 版本号
*/
public static final String VERSION = "0.4.2";
public static final String VERSION = "0.4.3";
}
@@ -109,6 +109,7 @@ public class AgentController {
entity.setMemModelId(template.getMemModelId());
entity.setIntentModelId(template.getIntentModelId());
entity.setSystemPrompt(template.getSystemPrompt());
entity.setChatHistoryConf(template.getChatHistoryConf());
entity.setLangCode(template.getLangCode());
entity.setLanguage(template.getLanguage());
}
@@ -166,6 +167,9 @@ public class AgentController {
if (dto.getSystemPrompt() != null) {
existingEntity.setSystemPrompt(dto.getSystemPrompt());
}
if (dto.getChatHistoryConf() != null) {
existingEntity.setChatHistoryConf(dto.getChatHistoryConf());
}
if (dto.getLangCode() != null) {
existingEntity.setLangCode(dto.getLangCode());
}
@@ -183,6 +187,15 @@ public class AgentController {
agentService.updateById(existingEntity);
// 更新记忆策略
if (existingEntity.getMemModelId() == null || existingEntity.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
// 删除所有记录
agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, true);
} else if (existingEntity.getChatHistoryConf() != null && existingEntity.getChatHistoryConf() == 1) {
// 删除音频数据
agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, false);
}
return new Result<>();
}
@@ -193,7 +206,7 @@ public class AgentController {
// 先删除关联的设备
deviceService.deleteByAgentId(id);
// 删除关联的聊天记录
agentChatHistoryService.deleteByAgentId(id);
agentChatHistoryService.deleteByAgentId(id, true, true);
// 再删除智能体
agentService.deleteById(id);
return new Result<>();
@@ -28,4 +28,11 @@ public interface AiAgentChatHistoryDao extends BaseMapper<AgentChatHistoryEntity
* @param agentId 智能体ID
*/
void deleteHistoryByAgentId(String agentId);
/**
* 根据智能体ID删除音频ID
*
* @param agentId 智能体ID
*/
void deleteAudioIdByAgentId(String agentId);
}
@@ -27,6 +27,9 @@ public class AgentDTO {
@Schema(description = "大语言模型名称", example = "llm_model_01")
private String llmModelName;
@Schema(description = "记忆模型ID", example = "mem_model_01")
private String memModelId;
@Schema(description = "角色设定参数", example = "你是一个专业的客服助手,负责回答用户问题并提供帮助")
private String systemPrompt;
@@ -45,6 +45,9 @@ public class AgentUpdateDTO implements Serializable {
@Schema(description = "角色设定参数", example = "你是一个专业的客服助手,负责回答用户问题并提供帮助", required = false)
private String systemPrompt;
@Schema(description = "聊天记录配置(0不记录 1仅记录文本 2记录文本和语音)", example = "3", required = false)
private Integer chatHistoryConf;
@Schema(description = "语言编码", example = "zh_CN", required = false)
private String langCode;
@@ -48,6 +48,9 @@ public class AgentEntity {
@Schema(description = "意图模型标识")
private String intentModelId;
@Schema(description = "聊天记录配置(0不记录 1仅记录文本 2记录文本和语音)")
private Integer chatHistoryConf;
@Schema(description = "角色设定参数")
private String systemPrompt;
@@ -69,6 +69,11 @@ public class AgentTemplateEntity implements Serializable {
*/
private String intentModelId;
/**
* 聊天记录配置(0不记录 1仅记录文本 2记录文本和语音)
*/
private Integer chatHistoryConf;
/**
* 角色设定参数
*/
@@ -39,7 +39,9 @@ public interface AgentChatHistoryService extends IService<AgentChatHistoryEntity
/**
* 根据智能体ID删除聊天记录
*
* @param agentId 智能体ID
* @param agentId 智能体ID
* @param deleteAudio 是否删除音频
* @param deleteText 是否删除文本
*/
void deleteByAgentId(String agentId);
void deleteByAgentId(String agentId, Boolean deleteAudio, Boolean deleteText);
}
@@ -2,12 +2,14 @@ package xiaozhi.modules.agent.service.biz.impl;
import java.util.Base64;
import java.util.Date;
import java.util.Objects;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import xiaozhi.common.constant.Constant;
import xiaozhi.common.redis.RedisKeys;
import xiaozhi.common.redis.RedisUtils;
import xiaozhi.modules.agent.dto.AgentChatHistoryReportDTO;
@@ -47,8 +49,33 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
Byte chatType = report.getChatType();
log.info("小智设备聊天上报请求: macAddress={}, type={}", macAddress, chatType);
// 1. base64解码report.getOpusDataBase64(),存入ai_agent_chat_audio表
// 根据设备MAC地址查询对应的默认智能体,判断是否需要上报
AgentEntity agentEntity = agentService.getDefaultAgentByMacAddress(macAddress);
if (agentEntity == null) {
return Boolean.FALSE;
}
Integer chatHistoryConf = agentEntity.getChatHistoryConf();
String agentId = agentEntity.getId();
if (Objects.equals(chatHistoryConf, Constant.ChatHistoryConfEnum.RECORD_TEXT.getCode())) {
saveChatText(report, agentId, macAddress, null);
} else if (Objects.equals(chatHistoryConf, Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode())) {
String audioId = saveChatAudio(report);
saveChatText(report, agentId, macAddress, audioId);
}
// 更新设备最后对话时间
redisUtils.set(RedisKeys.getAgentDeviceLastConnectedAtById(agentId), new Date());
return Boolean.TRUE;
}
/**
* base64解码report.getOpusDataBase64(),存入ai_agent_chat_audio表
*/
private String saveChatAudio(AgentChatHistoryReportDTO report) {
String audioId = null;
if (report.getAudioBase64() != null && !report.getAudioBase64().isEmpty()) {
try {
byte[] audioData = Base64.getDecoder().decode(report.getAudioBase64());
@@ -56,20 +83,18 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
log.info("音频数据保存成功,audioId={}", audioId);
} catch (Exception e) {
log.error("音频数据保存失败", e);
return false;
return null;
}
}
return audioId;
}
// 2. 组装上报数据
// 2.1 根据设备MAC地址查询对应的默认智能体,判断是否需要上报
AgentEntity agentEntity = agentService.getDefaultAgentByMacAddress(macAddress);
if (agentEntity == null) {
return false;
}
String agentId = agentEntity.getId();
log.info("设备 {} 对应智能体 {} 上报", macAddress, agentEntity.getId());
/**
* 组装上报数据
*/
private void saveChatText(AgentChatHistoryReportDTO report, String agentId, String macAddress, String audioId) {
// 2.2 构建聊天记录实体
// 构建聊天记录实体
AgentChatHistoryEntity entity = AgentChatHistoryEntity.builder()
.macAddress(macAddress)
.agentId(agentId)
@@ -79,10 +104,9 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
.audioId(audioId)
.build();
// 3. 保存数据
// 保存数据
agentChatHistoryService.save(entity);
// 4. 更新设备最后对话时间
redisUtils.set(RedisKeys.getAgentDeviceLastConnectedAtById(agentId), new Date());
return Boolean.TRUE;
log.info("设备 {} 对应智能体 {} 上报成功", macAddress, agentId);
}
}
@@ -78,8 +78,16 @@ public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryD
@Override
@Transactional(rollbackFor = Exception.class)
public void deleteByAgentId(String agentId) {
baseMapper.deleteAudioByAgentId(agentId);
baseMapper.deleteHistoryByAgentId(agentId);
public void deleteByAgentId(String agentId, Boolean deleteAudio, Boolean deleteText) {
if (deleteAudio) {
baseMapper.deleteAudioByAgentId(agentId);
}
if (deleteAudio && !deleteText) {
baseMapper.deleteAudioIdByAgentId(agentId);
}
if (deleteText) {
baseMapper.deleteHistoryByAgentId(agentId);
}
}
}
@@ -13,6 +13,7 @@ import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
import com.baomidou.mybatisplus.core.metadata.IPage;
import lombok.AllArgsConstructor;
import xiaozhi.common.constant.Constant;
import xiaozhi.common.page.PageData;
import xiaozhi.common.redis.RedisKeys;
import xiaozhi.common.redis.RedisUtils;
@@ -46,7 +47,15 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
@Override
public AgentEntity getAgentById(String id) {
return agentDao.selectById(id);
AgentEntity agent = agentDao.selectById(id);
if (agent != null && agent.getMemModelId() != null && agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.IGNORE.getCode());
} else if (agent != null && agent.getMemModelId() != null
&& !agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)
&& agent.getChatHistoryConf() == null) {
agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
}
return agent;
}
@Override
@@ -93,6 +102,9 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
// 获取 LLM 模型名称
dto.setLlmModelName(modelConfigService.getModelNameById(agent.getLlmModelId()));
// 获取记忆模型名称
dto.setMemModelId(agent.getMemModelId());
// 获取 TTS 音色名称
dto.setTtsVoiceName(timbreModelService.getTimbreNameById(agent.getTtsVoiceId()));
@@ -9,6 +9,7 @@ import org.apache.commons.lang3.StringUtils;
import org.springframework.stereotype.Service;
import lombok.AllArgsConstructor;
import xiaozhi.common.constant.Constant;
import xiaozhi.common.exception.ErrorCode;
import xiaozhi.common.exception.RenException;
import xiaozhi.common.redis.RedisKeys;
@@ -108,6 +109,17 @@ public class ConfigServiceImpl implements ConfigService {
// 获取单台设备每天最多输出字数
String deviceMaxOutputSize = sysParamsService.getValue("device_max_output_size", true);
result.put("device_max_output_size", deviceMaxOutputSize);
// 获取聊天记录配置
Integer chatHistoryConf = agent.getChatHistoryConf();
if (agent.getMemModelId() != null && agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
chatHistoryConf = Constant.ChatHistoryConfEnum.IGNORE.getCode();
} else if (agent.getMemModelId() != null
&& !agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)
&& agent.getChatHistoryConf() == null) {
chatHistoryConf = Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode();
}
result.put("chat_history_conf", chatHistoryConf);
// 如果客户端已实例化模型,则不返回
String alreadySelectedVadModelId = (String) selectedModule.get("VAD");
if (alreadySelectedVadModelId != null && alreadySelectedVadModelId.equals(agent.getVadModelId())) {
@@ -0,0 +1,25 @@
-- 更新模型供应器表
UPDATE `ai_model_provider` SET fields = '[{"key": "host", "type": "string", "label": "服务地址"}, {"key": "port", "type": "number", "label": "端口号"}, {"key": "type", "type": "string", "label": "服务类型"}, {"key": "is_ssl", "type": "boolean", "label": "是否使用SSL"}, {"key": "api_key", "type": "string", "label": "API密钥"}, {"key": "output_dir", "type": "string", "label": "输出目录"}]' WHERE id = 'SYSTEM_ASR_FunASRServer';
-- 更新模型配置表
UPDATE `ai_model_config` SET
config_json = '{"host": "127.0.0.1", "port": 10096, "type": "fun_server", "is_ssl": true, "api_key": "none", "output_dir": "tmp/"}',
`doc_link` = 'https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md',
`remark` = '独立部署FunASR,使用FunASR的API服务,只需要五句话
第一句:mkdir -p ./funasr-runtime-resources/models
第二句:sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
上一句话执行后会进入到容器,继续第三句:cd FunASR/runtime
不要退出容器,继续在容器中执行第四句:nohup bash run_server_2pass.sh --download-model-dir /workspace/models --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
上一句话执行后会进入到容器,继续第五句:tail -f log.txt
第五句话执行完后,会看到模型下载日志,下载完后就可以连接使用了
以上是使用CPU推理,如果有GPU,详细参考:https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md' WHERE `id` = 'ASR_FunASRServer';
-- FishSpeech配置说明
UPDATE `ai_model_config` SET
`doc_link` = 'https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/fish-speech-integration.md',
`remark` = 'FishSpeech配置说明:
1. 需要本地部署FishSpeech服务
2. 支持自定义音色
3. 本地推理,无需网络连接
4. 输出文件保存在tmp/目录
5. 可参照教程https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/fish-speech-integration.md' WHERE `id` = 'TTS_FishSpeech';
@@ -0,0 +1,6 @@
-- 添加聊天记录配置字段
ALTER TABLE `ai_agent`
ADD COLUMN `chat_history_conf` tinyint NOT NULL DEFAULT 0 COMMENT '聊天记录配置(0不记录 1仅记录文本 2记录文本和语音)' AFTER `system_prompt`;
ALTER TABLE `ai_agent_template`
ADD COLUMN `chat_history_conf` tinyint NOT NULL DEFAULT 0 COMMENT '聊天记录配置(0不记录 1仅记录文本 2记录文本和语音)' AFTER `system_prompt`;
@@ -113,4 +113,18 @@ databaseChangeLog:
changes:
- sqlFile:
encoding: utf8
path: classpath:db/changelog/202505091409.sql
path: classpath:db/changelog/202505091409.sql
- changeSet:
id: 202505091555
author: whosmyqueen
changes:
- sqlFile:
encoding: utf8
path: classpath:db/changelog/202505091555.sql
- changeSet:
id: 202505111914
author: hrz
changes:
- sqlFile:
encoding: utf8
path: classpath:db/changelog/202505111914.sql
@@ -28,11 +28,17 @@
SELECT audio_id
FROM ai_agent_chat_history
WHERE agent_id = #{agentId}
);
)
</delete>
<update id="deleteAudioIdByAgentId">
UPDATE ai_agent_chat_history
SET audio_id = NULL
WHERE agent_id = #{agentId}
</update>
<delete id="deleteHistoryByAgentId">
DELETE FROM ai_agent_chat_history
WHERE agent_id = #{agentId};
WHERE agent_id = #{agentId}
</delete>
</mapper>
+3 -3
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@@ -50,9 +50,9 @@ export default {
}).send();
},
// 获取智能体配置
getDeviceConfig(deviceId, callback) {
getDeviceConfig(agentId, callback) {
RequestService.sendRequest()
.url(`${getServiceUrl()}/agent/${deviceId}`)
.url(`${getServiceUrl()}/agent/${agentId}`)
.method('GET')
.success((res) => {
RequestService.clearRequestTime();
@@ -61,7 +61,7 @@ export default {
.fail((err) => {
console.error('获取配置失败:', err);
RequestService.reAjaxFun(() => {
this.getDeviceConfig(deviceId, callback);
this.getDeviceConfig(agentId, callback);
});
}).send();
},
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@@ -26,8 +26,12 @@
<div class="settings-btn" @click="handleDeviceManage">
设备管理({{ device.deviceCount }})
</div>
<div class="settings-btn" @click="handleChatHistory">
聊天记录
<div class="settings-btn" @click="handleChatHistory"
:class="{ 'disabled-btn': device.memModelId === 'Memory_nomem' }">
<el-tooltip v-if="device.memModelId === 'Memory_nomem'" content="未开启记忆" placement="top">
<span>聊天记录</span>
</el-tooltip>
<span v-else>聊天记录</span>
</div>
</div>
<div class="version-info">
@@ -77,6 +81,9 @@ export default {
this.$router.push({ path: '/device-management', query: { agentId: this.device.agentId } });
},
handleChatHistory() {
if (this.device.memModelId === 'Memory_nomem') {
return
}
this.$emit('chat-history', { agentId: this.device.agentId, agentName: this.device.agentName })
}
}
@@ -120,6 +127,12 @@ export default {
color: #979db1;
font-weight: 400;
}
.disabled-btn {
background: #e6e6e6;
color: #999;
cursor: not-allowed;
}
</style>
<style>
@@ -1,5 +1,5 @@
<template>
<el-dialog :title="title" :visible.sync="dialogVisible" width="30%" @close="handleClose" @open="handleOpen">
<el-dialog :title="title" :visible.sync="dialogVisible" @close="handleClose" @open="handleOpen">
<el-form ref="form" :model="form" :rules="rules" label-width="100px">
<el-form-item label="固件名称" prop="firmwareName">
<el-input v-model="form.firmwareName" placeholder="请输入固件名称(板子+版本号)"></el-input>
@@ -22,7 +22,7 @@
<el-progress v-if="isUploading || uploadStatus === 'success'" :percentage="uploadProgress"
:status="uploadStatus"></el-progress>
<div class="hint-text">
<span>温馨提示请上传xiaozhi.bin文件而不是merged-binary.bin文件</span>
<span>温馨提示请上传合并前的xiaozhi.bin文件而不是合并后的merged-binary.bin文件</span>
</div>
</el-form-item>
<el-form-item label="备注" prop="remark">
@@ -229,7 +229,6 @@ export default {
display: flex;
align-items: center;
gap: 8px;
color: #979db1;
font-size: 11px;
font-size: 14px;
}
</style>
@@ -0,0 +1,410 @@
<template>
<el-drawer :visible.sync="dialogVisible" direction="rtl" size="50%" :wrapperClosable="false" :withHeader="false">
<!-- 自定义标题区域 -->
<div class="custom-header">
<div class="header-left">
<h3 class="bold-title">功能管理</h3>
</div>
<button class="custom-close-btn" @click="closeDialog">×</button>
</div>
<div class="function-manager">
<!-- 左侧未选功能 -->
<div class="function-column">
<div class="column-header">
<h4 class="column-title">未选功能</h4>
<el-button type="text" @click="selectAll" class="select-all-btn">全选</el-button>
</div>
<div class="function-list">
<div v-for="func in unselected" :key="func.name" class="function-item">
<el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)" @click.native.stop></el-checkbox>
<div class="func-tag" @click="handleFunctionClick(func)">
<div class="color-dot" :style="{backgroundColor: getFunctionColor(func.name)}"></div>
<span>{{ func.name }}</span>
</div>
<el-tooltip class="item" effect="dark" :content="func.description || '暂无功能描述'" placement="top">
<img src="@/assets/home/info.png" alt="" class="info-icon">
</el-tooltip>
</div>
</div>
</div>
<!-- 中间已选功能 -->
<div class="function-column">
<div class="column-header">
<h4 class="column-title">已选功能</h4>
<el-button type="text" @click="deselectAll" class="select-all-btn">全选</el-button>
</div>
<div class="function-list">
<div v-for="func in selectedList" :key="func.name" class="function-item">
<el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)" @click.native.stop></el-checkbox>
<div class="func-tag" @click="handleFunctionClick(func)">
<div class="color-dot" :style="{backgroundColor: getFunctionColor(func.name)}"></div>
<span>{{ func.name }}</span>
</div>
</div>
</div>
</div>
<!-- 右侧参数配置 -->
<div class="params-column">
<h4 v-if="currentFunction" class="column-title">参数配置 - {{ currentFunction.name }}</h4>
<div v-if="currentFunction" class="params-container">
<el-form :model="currentFunction" size="mini" class="param-form" v-loading="loading" element-loading-text="拼命加载中" element-loading-spinner="el-icon-loading" element-loading-background="rgba(255, 255, 255, 0.7)">
<el-form-item v-for="(value, key) in currentFunction.params" :key="key" :label="key" class="param-item">
<el-input v-model="currentFunction.params[key]" size="mini" class="param-input" @change="(val) => handleParamChange(currentFunction, key, val)"/>
</el-form-item>
</el-form>
</div>
<div v-else class="empty-tip">请选择已配置的功能进行参数设置</div>
</div>
</div>
<div class="drawer-footer">
<el-button @click="closeDialog">取消</el-button>
<el-button type="primary" @click="saveSelection">保存配置</el-button>
</div>
</el-drawer>
</template>
<script>
export default {
props: {
value: Boolean,
functions: {
type: Array,
default: () => []
}
},
data() {
return {
dialogVisible: this.value,
selectedNames: [],
currentFunction: null,
modifiedFunctions: {},
allFunctions: [
{name: '天气', params: {city: '北京'}, description: '查看指定城市的天气情况'},
{name: '新闻', params: {type: '科技'}, description: '获取最新科技类新闻资讯'},
{name: '工具', params: {category: '常用'}, description: '提供常用工具集合'},
{name: '退出', params: {}, description: '退出当前系统'},
{name: '音乐', params: {genre: '流行'}, description: '播放流行音乐'},
{name: '翻译', params: {from: '中文', to: '英文'}, description: '提供中英文互译功能'},
{name: '计算', params: {precision: '2'}, description: '提供精确计算功能'},
{name: '日历', params: {view: '月'}, description: '查看月历视图'}
],
functionColorMap: [
'#FF6B6B', '#4ECDC4', '#45B7D1',
'#96CEB4', '#FFEEAD', '#D4A5A5', '#A2836E'
],
tempFunctions: {},
// 添加一个标志位来跟踪是否已经保存
hasSaved: false,
loading: false,
}
},
computed: {
selectedList() {
return this.allFunctions.filter(f => this.selectedNames.includes(f.name));
},
unselected() {
return this.allFunctions.filter(f => !this.selectedNames.includes(f.name));
}
},
watch: {
value(newVal) {
this.dialogVisible = newVal;
if (newVal) {
this.selectedNames = this.functions.map(f => f.name);
this.currentFunction = this.selectedList[0] || null;
}
},
dialogVisible(newVal) {
this.$emit('input', newVal);
}
},
methods: {
handleFunctionClick(func) {
if (this.selectedNames.includes(func.name)) {
this.loading = true;
setTimeout(() => {
const tempFunc = this.tempFunctions[func.name];
this.currentFunction = tempFunc ? tempFunc : JSON.parse(JSON.stringify(func));
this.loading = false;
}, 300);
}
},
handleParamChange(func, key, value) {
if (!this.tempFunctions[func.name]) {
this.tempFunctions[func.name] = JSON.parse(JSON.stringify(func));
}
this.tempFunctions[func.name].params[key] = value;
},
handleCheckboxChange(func, checked) {
if (checked) {
if (!this.selectedNames.includes(func.name)) {
this.selectedNames = [...this.selectedNames, func.name];
}
} else {
this.selectedNames = this.selectedNames.filter(name => name !== func.name);
}
if (this.selectedList.length > 0) {
this.currentFunction = this.selectedList[0];
} else {
this.currentFunction = null;
}
},
selectAll() {
this.selectedNames = [...this.allFunctions.map(f => f.name)];
if (this.selectedList.length > 0) {
this.currentFunction = JSON.parse(JSON.stringify(this.selectedList[0]));
}
},
deselectAll() {
this.selectedNames = [];
this.currentFunction = null;
},
closeDialog() {
this.tempFunctions = {};
this.selectedNames = this.functions.map(f => f.name);
this.currentFunction = null;
this.dialogVisible = false;
this.$emit('input', false);
this.$emit('dialog-closed', false);
},
saveSelection() {
Object.keys(this.tempFunctions).forEach(name => {
this.modifiedFunctions[name] = JSON.parse(JSON.stringify(this.tempFunctions[name]));
});
this.tempFunctions = {};
this.hasSaved = true;
const selected = this.selectedList.map(f => {
const modified = this.modifiedFunctions[f.name];
return modified || f;
}).map(f => ({
...f,
params: JSON.parse(JSON.stringify(f.params))
}));
this.$emit('update-functions', selected);
this.dialogVisible = false;
this.$message.success('配置保存成功');
// 通知父组件对话框已关闭且已保存
this.$emit('dialog-closed', true);
},
getFunctionColor(name) {
const hash = [...name].reduce((acc, char) => acc + char.charCodeAt(0), 0);
return this.functionColorMap[hash % 7];
}
}
}
</script>
<style lang="scss" scoped>
.function-manager {
display: grid;
grid-template-columns: minmax(120px, 0.5fr) minmax(120px, 0.5fr) minmax(200px, 2fr);
gap: 12px;
height: calc(70vh - 60px);
}
.custom-header {
position: relative;
display: flex;
justify-content: space-between;
align-items: center;
padding: 20px 24px;
border-bottom: 1px solid #EBEEF5;
.header-left {
display: flex;
align-items: center;
gap: 16px;
}
.bold-title {
font-size: 18px;
font-weight: bold;
margin: 0;
}
.select-all-btn {
padding: 0;
height: auto;
font-size: 14px;
}
}
.function-column {
position: relative;
width: auto;
padding: 10px;
overflow-y: auto;
border-right: 1px solid #EBEEF5;
scrollbar-width: none;
}
.function-column::-webkit-scrollbar {
display: none;
}
.function-list {
display: flex;
flex-direction: column;
gap: 4px;
}
.function-item {
padding: 8px 12px;
margin: 4px 0;
width: 100%;
text-align: left;
cursor: pointer;
border-radius: 4px;
transition: background-color 0.2s;
display: flex;
align-items: center;
justify-content: space-between;
&:hover {
background-color: #f5f7fa;
}
}
.params-column {
min-width: 280px;
padding: 10px;
overflow-y: auto;
scrollbar-width: none;
}
.params-column::-webkit-scrollbar {
display: none;
}
.column-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 12px;
}
.column-title {
text-align: center;
width: 100%;
}
.func-tag {
display: flex;
align-items: center;
cursor: pointer;
flex-grow: 1;
margin-left: 8px;
}
.color-dot {
flex-shrink: 0;
width: 8px;
height: 8px;
margin-right: 8px;
border-radius: 50%;
}
.param-form {
::v-deep .el-form-item {
display: flex;
align-items: center;
margin-bottom: 12px;
.el-form-item__label {
font-size: 14px !important;
color: #606266;
text-align: left;
padding-right: 10px;
flex-shrink: 0;
width: auto !important;
}
.el-form-item__content {
margin-left: 0 !important;
flex-grow: 1;
.el-input__inner {
text-align: left;
padding-left: 8px;
width: 100%;
}
}
}
}
.params-container {
padding: 16px;
border-radius: 4px;
min-width: 280px;
}
.empty-tip {
padding: 20px;
color: #909399;
text-align: center;
}
.param-input {
width: 100%;
}
.drawer-footer {
position: absolute;
bottom: 0;
width: 100%;
border-top: 1px solid #e8e8e8;
padding: 10px 16px;
text-align: center;
background: #fff;
}
.info-icon {
width: 16px;
height: 16px;
margin-right: 1vh;
}
.custom-close-btn {
position: absolute;
top: 50%;
right: 10px;
transform: translateY(-50%);
width: 35px;
height: 35px;
border-radius: 50%;
border: 2px solid #cfcfcf;
background: none;
font-size: 30px;
font-weight: lighter;
color: #cfcfcf;
cursor: pointer;
display: flex;
align-items: center;
justify-content: center;
z-index: 1;
padding: 0;
outline: none;
transition: all 0.3s;
}
.custom-close-btn:hover {
color: #409EFF;
border-color: #409EFF;
}
::v-deep .el-checkbox__label {
display: none;
}
</style>
+165 -12
View File
@@ -60,12 +60,44 @@
<div class="form-column">
<el-form-item v-for="(model, index) in models" :key="`model-${index}`" :label="model.label"
class="model-item">
<el-select v-model="form.model[model.key]" filterable placeholder="请选择" class="form-select">
<el-option v-for="(item, optionIndex) in modelOptions[model.type]"
:key="`option-${index}-${optionIndex}`" :label="item.label" :value="item.value" />
</el-select>
<div class="model-select-wrapper">
<el-select v-model="form.model[model.key]" filterable placeholder="请选择" class="form-select"
@change="handleModelChange(model.type, $event)">
<el-option v-for="(item, optionIndex) in modelOptions[model.type]"
:key="`option-${index}-${optionIndex}`" :label="item.label" :value="item.value" />
</el-select>
<div v-if="showFunctionIcons(model.type)" class="function-icons">
<el-tooltip v-for="func in currentFunctions" :key="func.name" effect="dark" placement="top"
popper-class="custom-tooltip">
<div slot="content">
<div><strong>功能名称:</strong> {{ func.name }}</div>
<div v-if="Object.keys(func.params).length > 0">
<strong>参数配置:</strong>
<div v-for="(value, key) in func.params" :key="key">
{{ key }}: {{ value }}
</div>
</div>
<div v-else>无参数配置</div>
</div>
<div class="icon-dot" :style="{ backgroundColor: getFunctionColor(func.name) }">
{{ func.name.charAt(0) }}
</div>
</el-tooltip>
<el-button class="edit-function-btn" @click="showFunctionDialog = true"
:class="{ 'active-btn': showFunctionDialog }">
编辑功能
</el-button>
</div>
<div v-if="model.type === 'Memory' && form.model.memModelId !== 'Memory_nomem'"
class="chat-history-options">
<el-radio-group v-model="form.chatHistoryConf" @change="updateChatHistoryConf">
<el-radio-button :label="1">上报文字</el-radio-button>
<el-radio-button :label="2">上报文字+语音</el-radio-button>
</el-radio-group>
</div>
</div>
</el-form-item>
<el-form-item label="角色音色">
<el-form-item label="角色音色">
<el-select v-model="form.ttsVoiceId" placeholder="请选择" class="form-select">
<el-option v-for="(item, index) in voiceOptions" :key="`voice-${index}`" :label="item.label"
:value="item.value" />
@@ -75,27 +107,31 @@
</div>
</div>
</el-form>
</el-card>
</div>
</div>
</div>
<function-dialog v-model="showFunctionDialog" :functions="currentFunctions"
@update-functions="handleUpdateFunctions" @dialog-closed="handleDialogClosed" />
</div>
</template>
<script>
import Api from '@/apis/api';
import FunctionDialog from "@/components/FunctionDialog.vue";
import HeaderBar from "@/components/HeaderBar.vue";
export default {
name: 'RoleConfigPage',
components: { HeaderBar },
components: { HeaderBar, FunctionDialog },
data() {
return {
form: {
agentCode: "",
agentName: "",
ttsVoiceId: "",
chatHistoryConf: 0,
systemPrompt: "",
langCode: "",
language: "",
@@ -121,6 +157,18 @@ export default {
templates: [],
loadingTemplate: false,
voiceOptions: [],
showFunctionDialog: false,
currentFunctions: [],
functionColorMap: [
'#FF6B6B', '#4ECDC4', '#45B7D1',
'#96CEB4', '#FFEEAD', '#D4A5A5', '#A2836E'
],
allFunctions: [
{ name: '天气', params: {} },
{ name: '新闻', params: {} },
{ name: '工具', params: {} },
{ name: '退出', params: {} }
],
}
},
methods: {
@@ -136,12 +184,14 @@ export default {
llmModelId: this.form.model.llmModelId,
ttsModelId: this.form.model.ttsModelId,
ttsVoiceId: this.form.ttsVoiceId,
chatHistoryConf: this.form.chatHistoryConf,
memModelId: this.form.model.memModelId,
intentModelId: this.form.model.intentModelId,
systemPrompt: this.form.systemPrompt,
langCode: this.form.langCode,
language: this.form.language,
sort: this.form.sort
sort: this.form.sort,
functions: this.currentFunctions
};
Api.agent.updateAgentConfig(this.$route.query.agentId, configData, ({ data }) => {
if (data.code === 0) {
@@ -167,6 +217,7 @@ export default {
agentCode: "",
agentName: "",
ttsVoiceId: "",
chatHistoryConf: 0,
systemPrompt: "",
langCode: "",
language: "",
@@ -180,12 +231,12 @@ export default {
intentModelId: "",
}
}
this.currentFunctions = [];
this.$message.success({
message: '配置已重置',
showClose: true
})
}).catch(() => {
});
}).catch(() => { });
},
fetchTemplates() {
Api.agent.getAgentTemplate(({ data }) => {
@@ -220,6 +271,7 @@ export default {
...this.form,
agentName: templateData.agentName || this.form.agentName,
ttsVoiceId: templateData.ttsVoiceId || this.form.ttsVoiceId,
chatHistoryConf: templateData.chatHistoryConf || this.form.chatHistoryConf,
systemPrompt: templateData.systemPrompt || this.form.systemPrompt,
langCode: templateData.langCode || this.form.langCode,
model: {
@@ -247,6 +299,7 @@ export default {
intentModelId: data.data.intentModelId
}
};
this.currentFunctions = data.data.functions || [];
} else {
this.$message.error(data.msg || '获取配置失败');
}
@@ -281,7 +334,56 @@ export default {
this.voiceOptions = [];
}
});
}
},
getFunctionColor(name) {
const hash = [...name].reduce((acc, char) => acc + char.charCodeAt(0), 0);
return this.functionColorMap[hash % 7];
},
showFunctionIcons(type) {
// TODO 暂时不放出来
return false;
// return type === 'Intent' &&
// this.form.model.intentModelId !== 'Intent_nointent';
},
handleModelChange(type, value) {
if (type === 'Intent' && value !== 'Intent_nointent') {
this.fetchFunctionList();
}
if (type === 'Memory' && value === 'Memory_nomem') {
this.form.chatHistoryConf = 0;
}
if (type === 'Memory' && value !== 'Memory_nomem' && (this.form.chatHistoryConf === 0 || this.form.chatHistoryConf === null)) {
this.form.chatHistoryConf = 2;
}
},
fetchFunctionList() {
// 使用假数据代替API调用
return new Promise(resolve => {
setTimeout(() => {
this.currentFunctions = [
{ name: '天气', params: { city: '北京' } },
{ name: '新闻', params: { type: '科技' } }
];
resolve();
}, 500);
});
},
handleUpdateFunctions(selected) {
this.currentFunctions = selected;
console.log('保存的功能列表:', selected);
this.$message.success('功能配置已保存');
},
handleDialogClosed(saved) {
if (!saved) {
// 如果未保存,恢复原始功能列表
this.currentFunctions = JSON.parse(JSON.stringify(this.originalFunctions));
}
},
updateChatHistoryConf() {
if (this.form.model.memModelId === 'Memory_nomem') {
this.form.chatHistoryConf = 0;
}
},
},
watch: {
'form.model.ttsModelId': {
@@ -308,6 +410,9 @@ export default {
const agentId = this.$route.query.agentId;
if (agentId) {
this.fetchAgentConfig(agentId);
this.fetchFunctionList().then(() => {
this.originalFunctions = JSON.parse(JSON.stringify(this.currentFunctions));
});
}
this.fetchModelOptions();
this.fetchTemplates();
@@ -509,8 +614,35 @@ export default {
height: 19px;
}
.model-select-wrapper {
display: flex;
align-items: center;
width: 100%;
}
.function-icons {
display: flex;
align-items: center;
margin-left: auto;
padding-left: 10px;
}
.icon-dot {
width: 25px;
height: 25px;
border-radius: 50%;
display: inline-flex;
align-items: center;
justify-content: center;
color: white;
font-weight: bold;
font-size: 12px;
margin-right: 8px;
position: relative;
}
::v-deep .el-form-item__label {
font-size: 10px !important;
font-size: 12px !important;
color: #3d4566 !important;
font-weight: 400;
line-height: 22px;
@@ -551,4 +683,25 @@ export default {
color: #409EFF;
border-color: #409EFF;
}
.edit-function-btn {
background: #e6ebff;
color: #5778ff;
border: 1px solid #adbdff;
border-radius: 18px;
padding: 10px 20px;
transition: all 0.3s;
}
.edit-function-btn.active-btn {
background: #5778ff;
color: white;
}
.chat-history-options {
display: flex;
gap: 10px;
min-width: 250px;
justify-content: flex-end;
}
</style>
+12 -11
View File
@@ -143,6 +143,13 @@ prompt: |
- 长篇大论,叽叽歪歪
- 长时间严肃对话
# 结束语prompt
end_prompt:
enable: true # 是否开启结束语
# 结束语
prompt: |
请你以“时间过得真快”未来头,用富有感情、依依不舍的话来结束这场对话吧。!
# 具体处理时选择的模块(The module selected for specific processing)
selected_module:
# 语音活动检测模块,默认使用SileroVAD模型
@@ -221,7 +228,7 @@ ASR:
FunASRServer:
# 独立部署FunASR,使用FunASR的API服务,只需要五句话
# 第一句:mkdir -p ./funasr-runtime-resources/models
# 第二句:sudo docker run -d -p 10096:10095 --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
# 第二句:sudo docker run -p 10096:10095 -it --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
# 上一句话执行后会进入到容器,继续第三句:cd FunASR/runtime
# 不要退出容器,继续在容器中执行第四句:nohup bash run_server_2pass.sh --download-model-dir /workspace/models --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
# 上一句话执行后会进入到容器,继续第五句:tail -f log.txt
@@ -231,6 +238,7 @@ ASR:
host: 127.0.0.1
port: 10096
is_ssl: true
api_key: none
output_dir: tmp/
SherpaASR:
type: sherpa_onnx_local
@@ -475,20 +483,13 @@ TTS:
speed: 1
output_dir: tmp/
FishSpeech:
# 定义TTS API类型
#启动tts方法:
#python -m tools.api_server
#--listen 0.0.0.0:8080
#--llama-checkpoint-path "checkpoints/fish-speech-1.5"
#--decoder-checkpoint-path "checkpoints/fish-speech-1.5/firefly-gan-vq-fsq-8x1024-21hz-generator.pth"
#--decoder-config-name firefly_gan_vq
#--compile
# 参照教程:https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/fish-speech-integration.md
type: fishspeech
output_dir: tmp/
response_format: wav
reference_id: null
reference_audio: ["/tmp/test.wav",]
reference_text: ["你弄来这些吟词宴曲来看,还是这些混话来欺负我。",]
reference_audio: ["config/assets/wakeup_words.wav",]
reference_text: ["哈啰啊,我是小智啦,声音好听的台湾女孩一枚,超开心认识你耶,最近在忙啥,别忘了给我来点有趣的料哦,我超爱听八卦的啦",]
normalize: true
max_new_tokens: 1024
chunk_length: 200
+1 -1
View File
@@ -4,7 +4,7 @@ from loguru import logger
from config.config_loader import load_config
from config.settings import check_config_file
SERVER_VERSION = "0.4.2"
SERVER_VERSION = "0.4.3"
def get_module_abbreviation(module_name, module_dict):
+45 -31
View File
@@ -33,7 +33,7 @@ from core.mcp.manager import MCPManager
from config.config_loader import get_private_config_from_api
from config.manage_api_client import DeviceNotFoundException, DeviceBindException
from core.utils.output_counter import add_device_output
from core.handle.ttsReportHandle import enqueue_tts_report, report_tts
from core.handle.reportHandle import enqueue_tts_report, report
TAG = __name__
@@ -75,6 +75,7 @@ class ConnectionHandler:
self.prompt = None
self.welcome_msg = None
self.max_output_size = 0
self.chat_history_conf = 0
# 客户端状态相关
self.client_abort = False
@@ -88,8 +89,11 @@ class ConnectionHandler:
self.executor = ThreadPoolExecutor(max_workers=10)
# 上报线程
self.tts_report_queue = queue.Queue()
self.tts_report_thread = None
self.report_queue = queue.Queue()
self.report_thread = None
# TODO(haotian): 2025/5/12 可以通过修改此处,调节asr的上报和tts的上报
self.report_asr_enable = self.read_config_from_api
self.report_tts_enable = self.read_config_from_api
# 依赖的组件
self.vad = None
@@ -264,11 +268,15 @@ class ConnectionHandler:
self.logger.bind(tag=TAG).info("收到服务器重启指令,准备执行...")
# 发送确认响应
await self.websocket.send(json.dumps({
"type": "server_response",
"status": "success",
"message": "服务器重启中..."
}))
await self.websocket.send(
json.dumps(
{
"type": "server_response",
"status": "success",
"message": "服务器重启中...",
}
)
)
# 异步执行重启操作
def restart_server():
@@ -280,7 +288,7 @@ class ConnectionHandler:
stdin=sys.stdin,
stdout=sys.stdout,
stderr=sys.stderr,
start_new_session=True
start_new_session=True,
)
os._exit(0)
@@ -289,11 +297,15 @@ class ConnectionHandler:
except Exception as e:
self.logger.bind(tag=TAG).error(f"重启失败: {str(e)}")
await self.websocket.send(json.dumps({
"type": "server_response",
"status": "error",
"message": f"Restart failed: {str(e)}"
}))
await self.websocket.send(
json.dumps(
{
"type": "server_response",
"status": "error",
"message": f"Restart failed: {str(e)}",
}
)
)
def _initialize_components(self):
"""初始化组件"""
@@ -320,11 +332,13 @@ class ConnectionHandler:
"""初始化ASR和TTS上报线程"""
if not self.read_config_from_api or self.need_bind:
return
if self.tts_report_thread is None or not self.tts_report_thread.is_alive():
self.tts_report_thread = threading.Thread(
target=self._tts_report_worker, daemon=True
if self.chat_history_conf == 0:
return
if self.report_thread is None or not self.report_thread.is_alive():
self.report_thread = threading.Thread(
target=self._report_worker, daemon=True
)
self.tts_report_thread.start()
self.report_thread.start()
self.logger.bind(tag=TAG).info("TTS上报线程已启动")
def _initialize_private_config(self):
@@ -393,7 +407,8 @@ class ConnectionHandler:
self.config["prompt"] = private_config["prompt"]
if private_config.get("device_max_output_size", None) is not None:
self.max_output_size = int(private_config["device_max_output_size"])
if private_config.get("chat_history_conf", None) is not None:
self.chat_history_conf = int(private_config["chat_history_conf"])
try:
modules = initialize_modules(
self.logger,
@@ -852,7 +867,7 @@ class ConnectionHandler:
if future is None:
continue
text = None
opus_datas, tts_file = [], None
audio_datas, tts_file = [], None
try:
self.logger.bind(tag=TAG).debug("正在处理TTS任务...")
tts_timeout = int(self.config.get("tts_timeout", 10))
@@ -874,8 +889,8 @@ class ConnectionHandler:
audio_datas, _ = self.tts.audio_to_pcm_data(tts_file)
else:
audio_datas, _ = self.tts.audio_to_opus_data(tts_file)
# 在这里上报TTS数据(使用文件路径)
enqueue_tts_report(self, 2, text, audio_datas)
# 在这里上报TTS数据
enqueue_tts_report(self, text, audio_datas)
else:
self.logger.bind(tag=TAG).error(
f"TTS出错:文件不存在{tts_file}"
@@ -931,13 +946,12 @@ class ConnectionHandler:
f"audio_play_priority priority_thread: {text} {e}"
)
def _tts_report_worker(self):
"""TTS上报工作线程"""
def _report_worker(self):
"""聊天记录上报工作线程"""
while not self.stop_event.is_set():
try:
# 从队列获取数据,设置超时以便定期检查停止事件
item = self.tts_report_queue.get(timeout=1)
item = self.report_queue.get(timeout=1)
if item is None: # 检测毒丸对象
break
@@ -945,18 +959,18 @@ class ConnectionHandler:
try:
# 执行上报(传入二进制数据)
report_tts(self, type, text, audio_data)
report(self, type, text, audio_data)
except Exception as e:
self.logger.bind(tag=TAG).error(f"TTS上报线程异常: {e}")
self.logger.bind(tag=TAG).error(f"聊天记录上报线程异常: {e}")
finally:
# 标记任务完成
self.tts_report_queue.task_done()
self.report_queue.task_done()
except queue.Empty:
continue
except Exception as e:
self.logger.bind(tag=TAG).error(f"TTS上报工作线程异常: {e}")
self.logger.bind(tag=TAG).error(f"聊天记录上报工作线程异常: {e}")
self.logger.bind(tag=TAG).info("TTS上报线程已退出")
self.logger.bind(tag=TAG).info("聊天记录上报线程已退出")
def speak_and_play(self, text, text_index=0):
if text is None or len(text) <= 0:
@@ -4,7 +4,7 @@ from core.utils.util import remove_punctuation_and_length
from core.handle.sendAudioHandle import send_stt_message
from core.handle.intentHandler import handle_user_intent
from core.utils.output_counter import check_device_output_limit
from core.handle.ttsReportHandle import enqueue_tts_report
from core.handle.reportHandle import enqueue_asr_report
from core.utils.util import audio_to_data
TAG = __name__
@@ -44,7 +44,7 @@ async def handleAudioMessage(conn, audio):
text_len, _ = remove_punctuation_and_length(text)
if text_len > 0:
# 使用自定义模块进行上报
enqueue_tts_report(conn, 1, text, copy.deepcopy(conn.asr_audio))
enqueue_asr_report(conn, text, copy.deepcopy(conn.asr_audio))
await startToChat(conn, text)
else:
@@ -98,9 +98,14 @@ async def no_voice_close_connect(conn):
conn.close_after_chat = True
conn.client_abort = False
conn.asr_server_receive = False
prompt = (
"请你以“时间过得真快”未来头,用富有感情、依依不舍的话来结束这场对话吧。"
)
end_prompt = conn.config.get("end_prompt", {})
if end_prompt and end_prompt.get("enable", True) is False:
conn.logger.bind(tag=TAG).info("结束对话,无需发送结束提示语")
await conn.close()
return
prompt = end_prompt.get("prompt")
if not prompt:
prompt = "请你以“时间过得真快”未来头,用富有感情、依依不舍的话来结束这场对话吧。!"
await startToChat(conn, prompt)
@@ -11,13 +11,13 @@ TTS上报功能已集成到ConnectionHandler类中。
import opuslib_next
from config.manage_api_client import report
from config.manage_api_client import report as manage_report
TAG = __name__
def report_tts(conn, type, text, opus_data):
"""执行TTS上报操作
def report(conn, type, text, opus_data):
"""执行聊天记录上报操作
Args:
conn: 连接对象
@@ -31,7 +31,7 @@ def report_tts(conn, type, text, opus_data):
else:
audio_data = None
# 执行上报
report(
manage_report(
mac_address=conn.device_id,
session_id=conn.session_id,
chat_type=type,
@@ -39,7 +39,7 @@ def report_tts(conn, type, text, opus_data):
audio=audio_data,
)
except Exception as e:
conn.logger.bind(tag=TAG).error(f"TTS上报失败: {e}")
conn.logger.bind(tag=TAG).error(f"聊天记录上报失败: {e}")
def opus_to_wav(conn, opus_data):
@@ -89,8 +89,10 @@ def opus_to_wav(conn, opus_data):
return bytes(wav_header) + pcm_data_bytes
def enqueue_tts_report(conn, type, text, opus_data):
if not conn.read_config_from_api or conn.need_bind:
def enqueue_tts_report(conn, text, opus_data):
if not conn.read_config_from_api or conn.need_bind or not conn.report_tts_enable:
return
if conn.chat_history_conf == 0:
return
"""将TTS数据加入上报队列
@@ -101,10 +103,43 @@ def enqueue_tts_report(conn, type, text, opus_data):
"""
try:
# 使用连接对象的队列,传入文本和二进制数据而非文件路径
conn.tts_report_queue.put((type, text, opus_data))
conn.logger.bind(tag=TAG).debug(
f"TTS数据已加入上报队列: {conn.device_id}, 音频大小: {len(opus_data)} "
)
if conn.chat_history_conf == 2:
conn.report_queue.put((2, text, opus_data))
conn.logger.bind(tag=TAG).debug(
f"TTS数据已加入上报队列: {conn.device_id}, 音频大小: {len(opus_data)} "
)
else:
conn.report_queue.put((2, text, None))
conn.logger.bind(tag=TAG).debug(
f"TTS数据已加入上报队列: {conn.device_id}, 不上报音频"
)
except Exception as e:
conn.logger.bind(tag=TAG).error(f"加入TTS上报队列失败: {text}, {e}")
def enqueue_asr_report(conn, text, opus_data):
if not conn.read_config_from_api or conn.need_bind or not conn.report_asr_enable:
return
if conn.chat_history_conf == 0:
return
"""将ASR数据加入上报队列
Args:
conn: 连接对象
text: 合成文本
opus_data: opus音频数据
"""
try:
# 使用连接对象的队列,传入文本和二进制数据而非文件路径
if conn.chat_history_conf == 2:
conn.report_queue.put((1, text, opus_data))
conn.logger.bind(tag=TAG).debug(
f"ASR数据已加入上报队列: {conn.device_id}, 音频大小: {len(opus_data)} "
)
else:
conn.report_queue.put((1, text, None))
conn.logger.bind(tag=TAG).debug(
f"ASR数据已加入上报队列: {conn.device_id}, 不上报音频"
)
except Exception as e:
conn.logger.bind(tag=TAG).error(f"加入ASR上报队列失败: {text}, {e}")
@@ -5,7 +5,7 @@ from core.utils.util import remove_punctuation_and_length
from core.handle.receiveAudioHandle import startToChat, handleAudioMessage
from core.handle.sendAudioHandle import send_stt_message, send_tts_message
from core.handle.iotHandle import handleIotDescriptors, handleIotStatus
from core.handle.ttsReportHandle import enqueue_tts_report
from core.handle.reportHandle import enqueue_asr_report
import asyncio
TAG = __name__
@@ -56,11 +56,11 @@ async def handleTextMessage(conn, message):
await send_tts_message(conn, "stop", None)
elif is_wakeup_words:
# 上报纯文字数据(复用ASR上报功能,但不提供音频数据)
enqueue_tts_report(conn, 1, "嘿,你好呀", [])
enqueue_asr_report(conn, "嘿,你好呀", [])
await startToChat(conn, "嘿,你好呀")
else:
# 上报纯文字数据(复用ASR上报功能,但不提供音频数据)
enqueue_tts_report(conn, 1, text, [])
enqueue_asr_report(conn, text, [])
# 否则需要LLM对文字内容进行答复
await startToChat(conn, text)
elif msg_json["type"] == "iot":
@@ -55,7 +55,7 @@ class ASRProvider(ASRProviderBase):
) -> Tuple[Optional[str], Optional[str]]:
"""将语音数据转换为文本"""
if not opus_data:
logger.bind(tag=TAG).warn("音频数据为空!")
logger.bind(tag=TAG).warning("音频数据为空!")
return None, None
file_path = None
@@ -9,6 +9,7 @@ import wave
import websockets
from config.logger import setup_logging
import asyncio
import re
TAG = __name__
logger = setup_logging()
@@ -24,7 +25,12 @@ class ASRProvider(ASRProviderBase):
super().__init__()
self.host = config.get("host", "localhost")
self.port = config.get("port", 10095)
self.is_ssl = config.get("is_ssl", True)
self.api_key = config.get("api_key", "none")
self.is_ssl = str(config.get("is_ssl", True)).lower() in (
"true",
"1",
"yes",
)
self.output_dir = config.get("output_dir")
self.delete_audio_file = delete_audio_file
self.uri = (
@@ -130,9 +136,13 @@ class ASRProvider(ASRProviderBase):
pass
else:
file_path = self.save_audio_to_file(pcm_data, session_id)
auth_header = {"Authorization": "Bearer; {}".format(self.api_key)}
async with websockets.connect(
self.uri, subprotocols=["binary"], ping_interval=None, ssl=self.ssl_context
self.uri,
additional_headers=auth_header,
subprotocols=["binary"],
ping_interval=None,
ssl=self.ssl_context,
) as ws:
try:
# Use asyncio to handle WebSocket communication
@@ -157,6 +167,9 @@ class ASRProvider(ASRProviderBase):
# Get the result from the receive task
result = receive_task.result()
match = re.match(r"<\|(.*?)\|><\|(.*?)\|><\|(.*?)\|>(.*)", result)
if match:
result = match.group(4).strip()
return (
result,
file_path,
@@ -52,7 +52,7 @@ class ASRProvider(ASRProviderBase):
) -> Tuple[Optional[str], Optional[str]]:
"""将语音数据转换为文本"""
if not opus_data:
logger.bind(tag=TAG).warn("音频数据为空!")
logger.bind(tag=TAG).warning("音频数据为空!")
return None, None
file_path = None
@@ -230,7 +230,7 @@ class ASRProvider(ASRProviderBase):
if "Response" in response_json and "Result" in response_json["Response"]:
return response_json["Response"]["Result"]
else:
logger.bind(tag=TAG).warn(f"响应中没有识别结果: {response_json}")
logger.bind(tag=TAG).warning(f"响应中没有识别结果: {response_json}")
return ""
except Exception as e:
@@ -61,5 +61,6 @@ class LLMProvider(LLMProviderBase):
yield "【LLM服务响应异常】"
def response_with_functions(self, session_id, dialogue, functions=None):
logger.bind(tag=TAG).info(f"阿里百练暂未实现完整的工具调用(function call")
return self.response(session_id, dialogue)
logger.bind(tag=TAG).error(
f"阿里百练暂未实现完整的工具调用(function call),建议使用其他意图识别"
)
@@ -66,5 +66,6 @@ class LLMProvider(LLMProviderBase):
yield "【服务响应异常】"
def response_with_functions(self, session_id, dialogue, functions=None):
logger.bind(tag=TAG).info(f"fastgpt暂未实现完整的工具调用(function call")
return self.response(session_id, dialogue)
logger.bind(tag=TAG).error(
f"fastgpt暂未实现完整的工具调用(function call),建议使用其他意图识别"
)
@@ -1,140 +1,205 @@
import google.generativeai as genai
from core.utils.util import check_model_key
from core.providers.llm.base import LLMProviderBase
from config.logger import setup_logging
import requests
import json
import os, json, uuid
from types import SimpleNamespace
from typing import Any, Dict, List
import requests
from google import generativeai as genai
from google.generativeai import types, GenerationConfig
from core.providers.llm.base import LLMProviderBase
from core.utils.util import check_model_key
from config.logger import setup_logging
from google.generativeai.types import GenerateContentResponse
from requests import RequestException
log = setup_logging()
TAG = __name__
logger = setup_logging()
def test_proxy(proxy_url: str, test_url: str) -> bool:
try:
resp = requests.get(test_url, proxies={"http": proxy_url, "https": proxy_url})
return 200 <= resp.status_code < 400
except RequestException:
return False
def setup_proxy_env(http_proxy: str | None, https_proxy: str | None):
"""
分别测试 HTTP 和 HTTPS 代理是否可用,并设置环境变量。
如果 HTTPS 代理不可用但 HTTP 可用,会将 HTTPS_PROXY 也指向 HTTP。
"""
test_http_url = "http://www.google.com"
test_https_url = "https://www.google.com"
ok_http = ok_https = False
if http_proxy:
ok_http = test_proxy(http_proxy, test_http_url)
if ok_http:
os.environ["HTTP_PROXY"] = http_proxy
log.bind(tag=TAG).info(f"配置提供的Gemini HTTPS代理连通成功: {http_proxy}")
else:
log.bind(tag=TAG).warning(f"配置提供的Gemini HTTP代理不可用: {http_proxy}")
if https_proxy:
ok_https = test_proxy(https_proxy, test_https_url)
if ok_https:
os.environ["HTTPS_PROXY"] = https_proxy
log.bind(tag=TAG).info(f"配置提供的Gemini HTTPS代理连通成功: {https_proxy}")
else:
log.bind(tag=TAG).warning(
f"配置提供的Gemini HTTPS代理不可用: {https_proxy}"
)
# 如果https_proxy不可用,但http_proxy可用且能走通https,则复用http_proxy作为https_proxy
if ok_http and not ok_https:
if test_proxy(http_proxy, test_https_url):
os.environ["HTTPS_PROXY"] = http_proxy
ok_https = True
log.bind(tag=TAG).info(f"复用HTTP代理作为HTTPS代理: {http_proxy}")
if not ok_http and not ok_https:
log.bind(tag=TAG).error(
f"Gemini 代理设置失败: HTTP 和 HTTPS 代理都不可用,请检查配置"
)
raise RuntimeError("HTTP 和 HTTPS 代理都不可用,请检查配置")
class LLMProvider(LLMProviderBase):
def __init__(self, config):
"""初始化Gemini LLM Provider"""
self.model_name = config.get("model_name", "gemini-1.5-pro")
self.api_key = config.get("api_key")
self.http_proxy = config.get("http_proxy")
self.https_proxy = config.get("https_proxy")
have_key = check_model_key("LLM", self.api_key)
def __init__(self, cfg: Dict[str, Any]):
self.model_name = cfg.get("model_name", "gemini-2.0-flash")
self.api_key = cfg["api_key"]
http_proxy = cfg.get("http_proxy")
https_proxy = cfg.get("https_proxy")
if not have_key:
return
if not check_model_key("LLM", self.api_key):
raise ValueError("无效的Gemini API Key,请检查是否配置正确")
try:
# 初始化Gemini客户端
# 配置代理(如果提供了代理配置)
self.proxies = None
if self.http_proxy is not "" or self.https_proxy is not "":
if http_proxy or https_proxy:
log.bind(tag=TAG).info(
f"检测到Gemini代理配置,开始测试代理连通性和设置代理环境..."
)
setup_proxy_env(http_proxy, https_proxy)
log.bind(tag=TAG).info(
f"Gemini 代理设置成功 - HTTP: {http_proxy}, HTTPS: {https_proxy}"
)
genai.configure(api_key=self.api_key)
self.model = genai.GenerativeModel(self.model_name)
self.proxies = {
"http": self.http_proxy,
"https": self.https_proxy,
}
logger.bind(tag=TAG).info(f"Gemini set proxys:{self.proxies}")
# 使用猴子补丁修改 google-generativeai 库的请求会话
self.gen_cfg = GenerationConfig(
temperature=0.7,
top_p=0.9,
top_k=40,
max_output_tokens=2048,
)
# 使用 session 对象配置 genai
genai.configure(api_key=self.api_key)
self.model = genai.GenerativeModel(self.model_name)
# 设置生成参数
self.generation_config = {
"temperature": 0.7,
"top_p": 0.9,
"top_k": 40,
"max_output_tokens": 2048,
}
self.chat = None
except Exception as e:
logger.bind(tag=TAG).error(f"Gemini初始化失败: {e}")
self.model = None
@staticmethod
def _build_tools(funcs: List[Dict[str, Any]] | None):
if not funcs:
return None
return [
types.Tool(
function_declarations=[
types.FunctionDeclaration(
name=f["function"]["name"],
description=f["function"]["description"],
parameters=f["function"]["parameters"],
)
for f in funcs
]
)
]
# Gemini文档提到,无需维护session-id,直接用dialogue拼接而成
def response(self, session_id, dialogue):
"""生成Gemini对话响应"""
if not self.model:
yield "【Gemini服务未正确初始化】"
return
try:
# 处理对话历史
chat_history = []
for msg in dialogue[:-1]: # 历史对话
role = "model" if msg["role"] == "assistant" else "user"
content = msg["content"].strip()
if content:
chat_history.append({"role": role, "parts": [{"text": content}]})
# 获取当前消息
current_msg = dialogue[-1]["content"]
# 构建请求体
request_body = {
"contents": chat_history
+ [{"role": "user", "parts": [{"text": current_msg}]}],
"generationConfig": self.generation_config,
}
# 构建请求URL
url = f"https://generativelanguage.googleapis.com/v1beta/models/{self.model_name}:generateContent?key={self.api_key}"
# 构建请求头
headers = {
"Content-Type": "application/json",
}
# 发送POST请求,经测试手动 request 无法使用 stream 模式
if self.proxies:
response = requests.post(
url,
headers=headers,
json=request_body,
stream=False,
proxies=self.proxies,
)
try:
data = response.json() # 直接解析JSON
if "candidates" in data and data["candidates"]:
yield data["candidates"][0]["content"]["parts"][0]["text"]
else:
yield "未找到候选回复。"
except json.JSONDecodeError as e:
yield f"JSON解码错误:{e}"
except Exception as e:
yield f"发生错误:{e}"
else:
logger.bind(tag=TAG).info(f"Gemini stream mode ")
chat = self.model.start_chat(history=chat_history)
# 发送消息并获取流式响应
response = chat.send_message(
current_msg, stream=True, generation_config=self.generation_config
)
# 处理流式响应
for chunk in response:
if hasattr(chunk, "text") and chunk.text:
yield chunk.text
except Exception as e:
error_msg = str(e)
logger.bind(tag=TAG).error(f"Gemini响应生成错误: {error_msg}")
# 针对不同错误返回友好提示
if "Rate limit" in error_msg:
yield "【Gemini服务请求太频繁,请稍后再试】"
elif "Invalid API key" in error_msg:
yield "【Gemini API key无效】"
else:
yield f"【Gemini服务响应异常: {error_msg}"
except requests.exceptions.RequestException as e:
yield f"请求失败:{e}"
except json.JSONDecodeError as e:
yield f"JSON解码错误:{e}"
except Exception as e:
yield f"发生错误:{e}"
yield from self._generate(dialogue, None)
def response_with_functions(self, session_id, dialogue, functions=None):
logger.bind(tag=TAG).info(f"gemini暂未实现完整的工具调用(function call")
return self.response(session_id, dialogue)
yield from self._generate(dialogue, self._build_tools(functions))
def _generate(self, dialogue, tools):
role_map = {"assistant": "model", "user": "user"}
contents: list = []
# 拼接对话
for m in dialogue:
r = m["role"]
if r == "assistant" and "tool_calls" in m:
tc = m["tool_calls"][0]
contents.append(
{
"role": "model",
"parts": [
{
"function_call": {
"name": tc["function"]["name"],
"args": json.loads(tc["function"]["arguments"]),
}
}
],
}
)
continue
if r == "tool":
contents.append(
{
"role": "model",
"parts": [{"text": str(m.get("content", ""))}],
}
)
continue
contents.append(
{
"role": role_map.get(r, "user"),
"parts": [{"text": str(m.get("content", ""))}],
}
)
stream: GenerateContentResponse = self.model.generate_content(
contents=contents,
generation_config=self.gen_cfg,
tools=tools,
stream=True,
)
try:
for chunk in stream:
cand = chunk.candidates[0]
for part in cand.content.parts:
# a) 函数调用-通常是最后一段话才是函数调用
if getattr(part, "function_call", None):
fc = part.function_call
yield None, [
SimpleNamespace(
id=uuid.uuid4().hex,
type="function",
function=SimpleNamespace(
name=fc.name,
arguments=json.dumps(
dict(fc.args), ensure_ascii=False
),
),
)
]
return
# b) 普通文本
if getattr(part, "text", None):
yield part.text if tools is None else (part.text, None)
finally:
if tools is not None:
yield None, None # functionmode 结束,返回哑包
# 关闭stream,预留后续打断对话功能的功能方法,官方文档推荐打断对话要关闭上一个流,可以有效减少配额计费和资源占用
@staticmethod
def _safe_finish_stream(stream: GenerateContentResponse):
if hasattr(stream, "resolve"):
stream.resolve() # Gemini SDK version ≥ 0.5.0
elif hasattr(stream, "close"):
stream.close() # Gemini SDK version < 0.5.0
else:
for _ in stream: # 兜底耗尽
pass
@@ -66,7 +66,6 @@ class LLMProvider(LLMProviderBase):
logger.bind(tag=TAG).error(f"生成响应时出错: {e}")
def response_with_functions(self, session_id, dialogue, functions=None):
logger.bind(tag=TAG).info(
f"homeassistant不支持(function call),建议使用意图识别使用:nointent"
logger.bind(tag=TAG).error(
f"homeassistant不支持(function call),建议使用其他意图识别"
)
return self.response(session_id, dialogue)
@@ -85,16 +85,22 @@ class TTSProvider(TTSProviderBase):
def __init__(self, config, delete_audio_file):
super().__init__(config, delete_audio_file)
self.reference_id = config.get("reference_id")
self.reference_id = (
None if not config.get("reference_id") else config.get("reference_id")
)
self.reference_audio = parse_string_to_list(config.get("reference_audio"))
self.reference_text = parse_string_to_list(config.get("reference_text"))
self.format = config.get("format", "wav")
self.format = config.get("response_format", "wav")
self.api_key = config.get("api_key", "YOUR_API_KEY")
have_key = check_model_key("FishSpeech TTS", self.api_key)
if not have_key:
return
self.normalize = config.get("normalize", True)
self.normalize = str(config.get("normalize", True)).lower() in (
"true",
"1",
"yes",
)
# 处理空字符串的情况
channels = config.get("channels", "1")
-2
View File
@@ -930,7 +930,6 @@ def check_vad_update(before_config, new_config):
if "type" not in new_config["VAD"][new_vad_module]
else new_config["VAD"][new_vad_module]["type"]
)
print(f"前vad:{current_vad_type},后vad:{new_vad_type}")
update_vad = current_vad_type != new_vad_type
return update_vad
@@ -954,6 +953,5 @@ def check_asr_update(before_config, new_config):
if "type" not in new_config["ASR"][new_asr_module]
else new_config["ASR"][new_asr_module]["type"]
)
print(f"前asr:{current_asr_type},后asr:{new_asr_type}")
update_asr = current_asr_type != new_asr_type
return update_asr