Merge branch 'main' into test-pr-sherpa-asr

This commit is contained in:
Huang
2025-03-19 23:21:23 +08:00
committed by GitHub
50 changed files with 1410 additions and 602 deletions
+48 -30
View File
@@ -5,13 +5,15 @@ import time
import queue
import asyncio
import traceback
from config.logger import setup_logging
import threading
import websockets
from typing import Dict, Any
import plugins_func.loadplugins
from config.logger import setup_logging
from core.utils.dialogue import Message, Dialogue
from core.handle.textHandle import handleTextMessage
from core.utils.util import get_string_no_punctuation_or_emoji, extract_json_from_string
from core.utils.util import get_string_no_punctuation_or_emoji, extract_json_from_string, get_ip_info
from concurrent.futures import ThreadPoolExecutor, TimeoutError
from core.handle.sendAudioHandle import sendAudioMessage
from core.handle.receiveAudioHandle import handleAudioMessage
@@ -20,7 +22,6 @@ from plugins_func.register import Action
from config.private_config import PrivateConfig
from core.auth import AuthMiddleware, AuthenticationError
from core.utils.auth_code_gen import AuthCodeGenerator
import plugins_func.loadplugins
TAG = __name__
@@ -37,6 +38,8 @@ class ConnectionHandler:
self.websocket = None
self.headers = None
self.client_ip = None
self.client_ip_info = {}
self.session_id = None
self.prompt = None
self.welcome_msg = None
@@ -95,16 +98,14 @@ class ConnectionHandler:
self.use_function_call_mode = False
if self.config["selected_module"]["Intent"] == 'function_call':
self.use_function_call_mode = True
self.func_handler = FunctionHandler(self.config)
async def handle_connection(self, ws):
try:
# 获取并验证headers
self.headers = dict(ws.request.headers)
# 获取客户端ip地址
client_ip = ws.remote_address[0]
self.logger.bind(tag=TAG).info(f"{client_ip} conn - Headers: {self.headers}")
self.client_ip = ws.remote_address[0]
self.logger.bind(tag=TAG).info(f"{self.client_ip} conn - Headers: {self.headers}")
# 进行认证
await self.auth.authenticate(self.headers)
@@ -148,6 +149,7 @@ class ConnectionHandler:
self.welcome_msg["session_id"] = self.session_id
await self.websocket.send(json.dumps(self.welcome_msg))
# 异步初始化
await self.loop.run_in_executor(None, self._initialize_components)
# tts 消化线程
@@ -188,8 +190,14 @@ class ConnectionHandler:
self.prompt = self.config["prompt"]
if self.private_config:
self.prompt = self.private_config.private_config.get("prompt", self.prompt)
self.client_ip_info = get_ip_info(self.client_ip)
self.logger.bind(tag=TAG).info(f"Client ip info: {self.client_ip_info}")
self.prompt = self.prompt + f"\n我在:{self.client_ip_info}"
self.dialogue.put(Message(role="system", content=self.prompt))
self.func_handler = FunctionHandler(self.config)
def change_system_prompt(self, prompt):
self.prompt = prompt
# 找到原来的role==system,替换原来的系统提示
@@ -295,7 +303,7 @@ class ConnectionHandler:
self.logger.bind(tag=TAG).debug(json.dumps(self.dialogue.get_llm_dialogue(), indent=4, ensure_ascii=False))
return True
def chat_with_function_calling(self, query, tool_call = False):
def chat_with_function_calling(self, query, tool_call=False):
self.logger.bind(tag=TAG).debug(f"Chat with function calling start: {query}")
"""Chat with function calling for intent detection using streaming"""
if self.isNeedAuth():
@@ -303,7 +311,7 @@ class ConnectionHandler:
future = asyncio.run_coroutine_threadsafe(self._check_and_broadcast_auth_code(), self.loop)
future.result()
return True
if not tool_call:
self.dialogue.put(Message(role="user", content=query))
@@ -312,7 +320,7 @@ class ConnectionHandler:
response_message = []
processed_chars = 0 # 跟踪已处理的字符位置
try:
start_time = time.time()
@@ -320,7 +328,7 @@ class ConnectionHandler:
future = asyncio.run_coroutine_threadsafe(self.memory.query_memory(query), self.loop)
memory_str = future.result()
#self.logger.bind(tag=TAG).info(f"对话记录: {self.dialogue.get_llm_dialogue_with_memory(memory_str)}")
# self.logger.bind(tag=TAG).info(f"对话记录: {self.dialogue.get_llm_dialogue_with_memory(memory_str)}")
# 使用支持functions的streaming接口
llm_responses = self.llm.response_with_functions(
@@ -343,8 +351,8 @@ class ConnectionHandler:
content_arguments = ""
for response in llm_responses:
content, tools_call = response
if content is not None and len(content)>0:
if len(response_message)<=0 and (content=="```" or "<tool_call>" in content):
if content is not None and len(content) > 0:
if len(response_message) <= 0 and (content == "```" or "<tool_call>" in content):
tool_call_flag = True
if tools_call is not None:
@@ -358,7 +366,7 @@ class ConnectionHandler:
if content is not None and len(content) > 0:
if tool_call_flag:
content_arguments+=content
content_arguments += content
else:
response_message.append(content)
@@ -414,16 +422,17 @@ class ConnectionHandler:
else:
function_arguments = json.loads(function_arguments)
if not bHasError:
self.logger.bind(tag=TAG).info(f"function_name={function_name}, function_id={function_id}, function_arguments={function_arguments}")
self.logger.bind(tag=TAG).info(
f"function_name={function_name}, function_id={function_id}, function_arguments={function_arguments}")
function_call_data = {
"name": function_name,
"id": function_id,
"arguments": function_arguments
}
result = self.func_handler.handle_llm_function_call(self, function_call_data)
self._handle_function_result(result, function_call_data, text_index+1)
self._handle_function_result(result, function_call_data, text_index + 1)
# 处理最后剩余的文本
# 处理最后剩余的文本
full_text = "".join(response_message)
remaining_text = full_text[processed_chars:]
if remaining_text:
@@ -435,7 +444,7 @@ class ConnectionHandler:
self.tts_queue.put(future)
# 存储对话内容
if len(response_message)>0:
if len(response_message) > 0:
self.dialogue.put(Message(role="assistant", content="".join(response_message)))
self.llm_finish_task = True
@@ -444,31 +453,40 @@ class ConnectionHandler:
return True
def _handle_function_result(self, result, function_call_data, text_index):
if result.action == Action.RESPONSE: # 直接回复前端
if result.action == Action.RESPONSE: # 直接回复前端
text = result.response
self.recode_first_last_text(text, text_index)
future = self.executor.submit(self.speak_and_play, text, text_index)
self.tts_queue.put(future)
self.dialogue.put(Message(role="assistant", content=text))
if result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
elif result.action == Action.REQLLM: # 调用函数后再请求llm生成回复
text = result.result
if text is not None and len(text) > 0:
function_id = function_call_data["id"]
function_name = function_call_data["name"]
function_arguments = function_call_data["arguments"]
self.dialogue.put(Message(role='assistant',
tool_calls=[{"id": function_id,
"function": {"arguments": function_arguments,"name": function_name},
"type": 'function',
"index": 0}]))
tool_calls=[{"id": function_id,
"function": {"arguments": function_arguments,
"name": function_name},
"type": 'function',
"index": 0}]))
self.dialogue.put(Message(role="tool", tool_call_id=function_id, content=text))
self.chat_with_function_calling(text, tool_call=True)
if result.action == Action.NOTFOUND:
text = result.response
elif result.action == Action.NOTFOUND:
text = result.result
self.recode_first_last_text(text, text_index)
future = self.executor.submit(self.speak_and_play, text, text_index)
self.tts_queue.put(future)
self.dialogue.put(Message(role="assistant", content=text))
else:
text = result.result
self.recode_first_last_text(text, text_index)
future = self.executor.submit(self.speak_and_play, text, text_index)
self.tts_queue.put(future)
self.dialogue.put(Message(role="assistant", content=text))
def _tts_priority_thread(self):
while not self.stop_event.is_set():
@@ -50,6 +50,7 @@ class FunctionHandler:
self.function_registry.register_function("play_music")
self.function_registry.register_function("plugin_loader")
self.function_registry.register_function("get_time")
self.function_registry.register_function("raise_and_lower_the_volume")
def register_config_functions(self):
"""注册配置中的函数,可以不同客户端使用不同的配置"""
@@ -69,7 +70,7 @@ class FunctionHandler:
arguments = function_call_data["arguments"]
arguments = json.loads(arguments) if arguments else {}
logger.bind(tag=TAG).info(f"调用函数: {function_name}, 参数: {arguments}")
if funcItem.type == ToolType.SYSTEM_CTL:
if funcItem.type == ToolType.SYSTEM_CTL or funcItem.type == ToolType.IOT_CTL:
return func(conn, **arguments)
elif funcItem.type == ToolType.WAIT:
return func(**arguments)
+242 -97
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@@ -1,24 +1,120 @@
import json
import asyncio
from config.logger import setup_logging
from plugins_func.register import device_type_registry, register_function, ActionResponse, Action, ToolType
TAG = __name__
logger = setup_logging()
def wrap_async_function(async_func):
"""包装异步函数为同步函数"""
def wrapper(*args, **kwargs):
try:
# 获取连接对象(第一个参数)
conn = args[0]
if not hasattr(conn, 'loop'):
logger.bind(tag=TAG).error("Connection对象没有loop属性")
return ActionResponse(Action.ERROR, "Connection对象没有loop属性",
"执行操作时出错: Connection对象没有loop属性")
# 使用conn对象中的事件循环
loop = conn.loop
# 在conn的事件循环中运行异步函数
future = asyncio.run_coroutine_threadsafe(async_func(*args, **kwargs), loop)
# 等待结果返回
return future.result()
except Exception as e:
logger.bind(tag=TAG).error(f"运行异步函数时出错: {e}")
return ActionResponse(Action.ERROR, str(e), f"执行操作时出错: {e}")
return wrapper
def create_iot_function(device_name, method_name, method_info):
"""
根据IOT设备描述生成通用的控制函数
"""
async def iot_control_function(conn, response_success=None, response_failure=None, **params):
try:
# 打印响应参数
logger.bind(tag=TAG).info(
f"控制函数接收到的响应参数: success='{response_success}', failure='{response_failure}'")
# 发送控制命令
await send_iot_conn(conn, device_name, method_name, params)
# 等待一小段时间让状态更新
await asyncio.sleep(0.1)
# 生成结果信息
result = f"{device_name}{method_name}操作执行成功"
# 处理响应中可能的占位符
response = response_success
# 替换{value}占位符
for param_name, param_value in params.items():
# 先尝试直接替换参数值
if "{" + param_name + "}" in response:
response = response.replace("{" + param_name + "}", str(param_value))
# 如果有{value}占位符,用相关参数替换
if "{value}" in response:
response = response.replace("{value}", str(param_value))
break
return ActionResponse(Action.RESPONSE, result, response)
except Exception as e:
logger.bind(tag=TAG).error(f"执行{device_name}{method_name}操作失败: {e}")
# 操作失败时使用大模型提供的失败响应
response = response_failure
return ActionResponse(Action.ERROR, str(e), response)
return wrap_async_function(iot_control_function)
def create_iot_query_function(device_name, prop_name, prop_info):
"""
根据IOT设备属性创建查询函数
"""
async def iot_query_function(conn, response_success=None, response_failure=None):
try:
# 打印响应参数
logger.bind(tag=TAG).info(
f"查询函数接收到的响应参数: success='{response_success}', failure='{response_failure}'")
value = await get_iot_status(conn, device_name, prop_name)
# 查询成功,生成结果
if value is not None:
# 使用大模型提供的成功响应,并替换其中的占位符
response = response_success.replace("{value}", str(value))
return ActionResponse(Action.RESPONSE, str(value), response)
else:
# 查询失败,使用大模型提供的失败响应
response = response_failure
return ActionResponse(Action.ERROR, f"属性{prop_name}不存在", response)
except Exception as e:
logger.bind(tag=TAG).error(f"查询{device_name}{prop_name}时出错: {e}")
# 查询出错时使用大模型提供的失败响应
response = response_failure
return ActionResponse(Action.ERROR, str(e), response)
return wrap_async_function(iot_query_function)
class IotDescriptor:
"""
A class to represent an IoT descriptor.
Attributes:
----------
name : str
The name of the IoT descriptor.
description : str
A brief description of the IoT descriptor.
properties : dict
A dictionary containing properties of the IoT descriptor.
methods : dict
A dictionary containing methods of the IoT descriptor.
-------
"""
def __init__(self, name, description, properties, methods):
@@ -29,17 +125,7 @@ class IotDescriptor:
# 根据描述创建属性
for key, value in properties.items():
# "volume":{"description":"当前音量 值","type":"number"}
"""
等价于
{
'name': 名字,
'description': 描述,
'value': 0
}
"""
# setattr(self, key, {}) # 创建一个空字典, 名字是属性名
property_item = globals()[key] = {} # 创建一个空字典, 名字是属性名
property_item = globals()[key] = {}
property_item['name'] = key
property_item["description"] = value["description"]
if value["type"] == "number":
@@ -52,23 +138,10 @@ class IotDescriptor:
# 根据描述创建方法
for key, value in methods.items():
# "SetVolume": {"description":"设置音量","parameters":{"volume":{"description":"0到100之间的整数","type":"number"}}}
"""
等价于
SetVolume = {
`description`: 描述,
`volume`: {
`description`: 描述,
`value`: 0
}
}
"""
# setattr(self, key, {}) # 创建一个空字典, 名字是方法名
method = globals()[key] = {} # 创建一个空字典, 名字是方法名
method = globals()[key] = {}
method["description"] = value["description"]
method['name'] = key
for k, v in value["parameters"].items():
# 不同的参数解析
method[k] = {}
method[k]["description"] = v["description"]
if v["type"] == "number":
@@ -77,58 +150,136 @@ class IotDescriptor:
method[k]["value"] = False
else:
method[k]["value"] = ""
self.methods.append(method)
async def handleIotDescriptors(conn, descriptors):
"""
处理物联网描述
示例: [{
"name":"Speaker",
"description":"当前 AI 机器人的扬声器",
"properties":{
"volume":{"description":"当前音量 值","type":"number"} 可以有boolean, number, string三种类型
},
"methods":{
"SetVolume":{
"description":"设置音量","parameters":{"volume":{"description":"0到100之间的整数","type":"number"}}
def register_device_type(descriptor):
"""注册设备类型及其功能"""
device_name = descriptor["name"]
type_id = device_type_registry.generate_device_type_id(descriptor)
# 如果该类型已注册,直接返回类型ID
if type_id in device_type_registry.type_functions:
return type_id
functions = {}
# 为每个属性创建查询函数
for prop_name, prop_info in descriptor["properties"].items():
func_name = f"get_{device_name.lower()}_{prop_name.lower()}"
func_desc = {
"type": "function",
"function": {
"name": func_name,
"description": f"查询{descriptor['description']}{prop_info['description']}",
"parameters": {
"type": "object",
"properties": {
"response_success": {
"type": "string",
"description": f"查询成功时的友好回复,必须使用{{value}}作为占位符表示查询到的值"
},
"response_failure": {
"type": "string",
"description": f"查询失败时的友好回复,例如:'无法获取{device_name}{prop_info['description']}'"
}
},
"required": ["response_success", "response_failure"]
}
}
}
}]
descriptors: 描述列表
"""
query_func = create_iot_query_function(device_name, prop_name, prop_info)
decorated_func = register_function(func_name, func_desc, ToolType.IOT_CTL)(query_func)
functions[func_name] = decorated_func
# 为每个方法创建控制函数
for method_name, method_info in descriptor["methods"].items():
func_name = f"{device_name.lower()}_{method_name.lower()}"
# 创建参数字典,添加原有参数
parameters = {
param_name: {
"type": param_info["type"],
"description": param_info["description"]
}
for param_name, param_info in method_info["parameters"].items()
}
# 添加响应参数
parameters.update({
"response_success": {
"type": "string",
"description": "操作成功时的友好回复,关于该设备的操作结果,设备名称尽量使用description中的名称"
},
"response_failure": {
"type": "string",
"description": "操作失败时的友好回复,关于该设备的操作结果,设备名称尽量使用description中的名称"
}
})
# 构建必须参数列表(原有参数 + 响应参数)
required_params = list(method_info["parameters"].keys())
required_params.extend(["response_success", "response_failure"])
func_desc = {
"type": "function",
"function": {
"name": func_name,
"description": f"{descriptor['description']} - {method_info['description']}",
"parameters": {
"type": "object",
"properties": parameters,
"required": required_params
}
}
}
control_func = create_iot_function(device_name, method_name, method_info)
decorated_func = register_function(func_name, func_desc, ToolType.IOT_CTL)(control_func)
functions[func_name] = decorated_func
device_type_registry.register_device_type(type_id, functions)
return type_id
# 用于接受前端设备推送的搜索iot描述
async def handleIotDescriptors(conn, descriptors):
"""处理物联网描述"""
functions_changed = False
for descriptor in descriptors:
# 创建IOT设备描述符
iot_descriptor = IotDescriptor(descriptor["name"], descriptor["description"], descriptor["properties"],
descriptor["methods"])
conn.iot_descriptors[descriptor["name"]] = iot_descriptor
# 暂时从配置文件中设置音量,后期通过意图识别控制音量
default_iot_volume = 100
if "iot" in conn.config:
default_iot_volume = conn.config["iot"]["Speaker"]["volume"]
logger.bind(tag=TAG).info(f"服务端设置音量为{default_iot_volume}")
await send_iot_conn(conn, "Speaker", "SetVolume", {"volume": default_iot_volume})
if conn.use_function_call_mode:
# 注册或获取设备类型
type_id = register_device_type(descriptor)
device_functions = device_type_registry.get_device_functions(type_id)
# 在连接级注册设备函数
if hasattr(conn, 'func_handler'):
for func_name in device_functions:
conn.func_handler.function_registry.register_function(func_name)
logger.bind(tag=TAG).info(f"注册IOT函数到function handler: {func_name}")
functions_changed = True
# 如果注册了新函数,更新function描述列表
if functions_changed and hasattr(conn, 'func_handler'):
conn.func_handler.upload_functions_desc()
func_names = conn.func_handler.current_support_functions()
logger.bind(tag=TAG).info(f"设备类型: {type_id}")
logger.bind(tag=TAG).info(f"更新function描述列表完成,当前支持的函数: {func_names}")
async def handleIotStatus(conn, states):
"""
处理物联网状态
示例: [{
"name":"Speaker",
"state":{
"volume":100
}
}]
states: 状态列表
"""
"""处理物联网状态"""
for state in states:
for key, value in conn.iot_descriptors.items():
if key == state["name"]:
for property_item in value.properties:
# properties为字典列表, 记录各种属性
for k, v in state["state"].items():
# state为字典, 记录各种属性的值, 是需要记录的信息
if property_item["name"] == k:
# 检查一下属性是不是相同的
if type(v) != type(property_item["value"]):
logger.bind(tag=TAG).error(f"属性{property_item['name']}的值类型不匹配")
break
@@ -138,41 +289,35 @@ async def handleIotStatus(conn, states):
break
break
async def get_iot_status(conn, name, property_name):
"""
获取物联网状态
name: 设备名称 "Speaker"
property_name: 属性名称 "volume"
返回值: 属性值, 实际的属性有int, bool和str三种类型
"""
"""获取物联网状态"""
for key, value in conn.iot_descriptors.items():
if key == name:
for property_item in value.properties:
if property_item["name"] == property_name:
return property_item["value"]
logger.bind(tag=TAG).warning(f"未找到设备 {name} 的属性 {property_name}")
return None
async def send_iot_conn(conn, name, method_name, parameters):
"""
发送物联网指令
name: 设备名称 "Speaker"
method: 方法 "SetVolume"
parameters: 参数, 是一个字典 {"volume": 100}
发送示例:
{
"type": "iot",
"commands": [
{
"name" : "Speaker",
"method": "SetVolume",
"parameters": {
"volume": 100
}
}
]
}
"""
async def set_iot_status(conn, name, property_name, value):
"""设置物联网状态"""
for key, iot_descriptor in conn.iot_descriptors.items():
if key == name:
for property_item in iot_descriptor.properties:
if property_item["name"] == property_name:
if type(value) != type(property_item["value"]):
logger.bind(tag=TAG).error(f"属性{property_item['name']}的值类型不匹配")
return
property_item["value"] = value
logger.bind(tag=TAG).info(f"物联网状态更新: {name} , {property_name} = {value}")
return
logger.bind(tag=TAG).warning(f"未找到设备 {name} 的属性 {property_name}")
async def send_iot_conn(conn, name, method_name, parameters):
"""发送物联网指令"""
for key, value in conn.iot_descriptors.items():
if key == name:
# 找到了设备
@@ -2,7 +2,7 @@ from config.logger import setup_logging
import json
from core.handle.abortHandle import handleAbortMessage
from core.handle.helloHandle import handleHelloMessage
from core.handle.receiveAudioHandle import startToChat
from core.handle.receiveAudioHandle import startToChat, handleAudioMessage
from core.handle.iotHandle import handleIotDescriptors, handleIotStatus
TAG = __name__
@@ -31,6 +31,8 @@ async def handleTextMessage(conn, message):
elif msg_json["state"] == "stop":
conn.client_have_voice = True
conn.client_voice_stop = True
if len(conn.asr_audio) > 0:
await handleAudioMessage(conn, b'')
elif msg_json["state"] == "detect":
conn.asr_server_receive = False
conn.client_have_voice = False
@@ -41,6 +43,6 @@ async def handleTextMessage(conn, message):
if "descriptors" in msg_json:
await handleIotDescriptors(conn, msg_json["descriptors"])
if "states" in msg_json:
await handleIotStatus(conn, msg_json["states"])
await handleIotStatus(conn, msg_json["states"])
except json.JSONDecodeError:
await conn.websocket.send(message)
@@ -9,6 +9,7 @@ logger = setup_logging()
class LLMProvider(LLMProviderBase):
def __init__(self, config):
self.api_key = config["api_key"]
self.mode = config.get("mode", "chat-messages")
self.base_url = config.get("base_url", "https://api.dify.ai/v1").rstrip('/')
self.session_conversation_map = {} # 存储session_id和conversation_id的映射
@@ -19,27 +20,59 @@ class LLMProvider(LLMProviderBase):
conversation_id = self.session_conversation_map.get(session_id)
# 发起流式请求
with requests.post(
f"{self.base_url}/chat-messages",
headers={"Authorization": f"Bearer {self.api_key}"},
json={
if self.mode == "chat-messages":
request_json = {
"query": last_msg["content"],
"response_mode": "streaming",
"user": session_id,
"inputs": {},
"conversation_id": conversation_id
},
}
elif self.mode == "workflows/run":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
}
elif self.mode == "completion-messages":
request_json = {
"inputs": {"query": last_msg["content"]},
"response_mode": "streaming",
"user": session_id
}
with requests.post(
f"{self.base_url}/{self.mode}",
headers={"Authorization": f"Bearer {self.api_key}"},
json=request_json,
stream=True
) as r:
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
# 如果没有找到conversation_id,则获取此次conversation_id
if not conversation_id:
conversation_id = event.get('conversation_id')
self.session_conversation_map[session_id] = conversation_id # 更新映射
if event.get('answer'):
yield event['answer']
if self.mode == "chat-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
# 如果没有找到conversation_id,则获取此次conversation_id
if not conversation_id:
conversation_id = event.get('conversation_id')
self.session_conversation_map[session_id] = conversation_id # 更新映射
if event.get('answer'):
yield event['answer']
elif self.mode == "workflows/run":
for line in r.iter_lines():
# logger.bind(tag=TAG).info(f"chat message response: {line}")
if line.startswith(b'data: '):
event = json.loads(line[6:])
if event.get('event') == "workflow_finished":
if event['data']['status'] == "succeeded":
yield event['data']['outputs']['answer']
else:
yield "【服务响应异常】"
elif self.mode == "completion-messages":
for line in r.iter_lines():
if line.startswith(b'data: '):
event = json.loads(line[6:])
if event.get('answer'):
yield event['answer']
except Exception as e:
logger.bind(tag=TAG).error(f"Error in response generation: {e}")
@@ -13,7 +13,7 @@ logger = setup_logging()
class TTSProviderBase(ABC):
def __init__(self, config, delete_audio_file):
self.delete_audio_file = delete_audio_file
self.output_file = config.get("output_file")
self.output_file = config.get("output_dir")
@abstractmethod
def generate_filename(self):
@@ -15,7 +15,7 @@ class TTSProvider(TTSProviderBase):
self.headers = config.get("headers", {})
self.params = config.get("params")
self.format = config.get("format", "wav")
self.output_file = config.get("output_file", "tmp/")
self.output_file = config.get("output_dir", "tmp/")
def generate_filename(self):
return os.path.join(self.output_file, f"tts-{datetime.now().date()}@{uuid.uuid4().hex}.{self.format}")
@@ -22,7 +22,7 @@ class TTSProvider(TTSProviderBase):
self.cut_punc = config.get("cut_punc","")
self.speed = config.get("speed", 1.0)
self.inp_refs = config.get("inp_refs",[])
self.sample_steps = config.get("inp_refs",32)
self.sample_steps = config.get("sample_steps",32)
self.if_sr = config.get("if_sr",False)
@@ -14,7 +14,7 @@ class TTSProvider(TTSProviderBase):
self.voice = config.get("voice", "alloy")
self.response_format = "wav"
self.speed = config.get("speed", 1.0)
self.output_file = config.get("output_file", "tmp/")
self.output_file = config.get("output_dir", "tmp/")
check_model_key("TTS", self.api_key)
def generate_filename(self, extension=".wav"):
@@ -17,7 +17,7 @@ class TTSProvider(TTSProviderBase):
self.volume_change_dB = config.get("volume_change_dB", 0)
self.speed_factor = config.get("speed_factor", 1)
self.stream = config.get("stream", False)
self.output_file = config.get("output_file")
self.output_file = config.get("output_dir")
self.pitch_factor = config.get("pitch_factor", 0)
self.format = config.get("format", "mp3")
self.emotion = config.get("emotion", 1)
+59 -1
View File
@@ -1,11 +1,11 @@
import os
import json
from datetime import datetime
import yaml
import socket
import subprocess
import logging
import re
import requests
def get_project_dir():
@@ -24,6 +24,64 @@ def get_local_ip():
except Exception as e:
return "127.0.0.1"
def is_private_ip(ip_addr):
"""
Check if an IP address is a private IP address (compatible with IPv4 and IPv6).
@param {string} ip_addr - The IP address to check.
@return {bool} True if the IP address is private, False otherwise.
"""
try:
# Validate IPv4 or IPv6 address format
if not re.match(r"^(\d{1,3}\.){3}\d{1,3}$|^([0-9a-fA-F]{1,4}:){7}[0-9a-fA-F]{1,4}$", ip_addr):
return False # Invalid IP address format
# IPv4 private address ranges
if '.' in ip_addr: # IPv4 address
ip_parts = list(map(int, ip_addr.split('.')))
if ip_parts[0] == 10:
return True # 10.0.0.0/8 range
elif ip_parts[0] == 172 and 16 <= ip_parts[1] <= 31:
return True # 172.16.0.0/12 range
elif ip_parts[0] == 192 and ip_parts[1] == 168:
return True # 192.168.0.0/16 range
elif ip_addr == '127.0.0.1':
return True # Loopback address
elif ip_parts[0] == 169 and ip_parts[1] == 254:
return True # Link-local address 169.254.0.0/16
else:
return False # Not a private IPv4 address
else: # IPv6 address
ip_addr = ip_addr.lower()
if ip_addr.startswith('fc00:') or ip_addr.startswith('fd00:'):
return True # Unique Local Addresses (FC00::/7)
elif ip_addr == '::1':
return True # Loopback address
elif ip_addr.startswith('fe80:'):
return True # Link-local unicast addresses (FE80::/10)
else:
return False # Not a private IPv6 address
except (ValueError, IndexError):
return False # IP address format error or insufficient segments
def get_ip_info(ip_addr):
try:
base_url = "https://freeipapi.com/api/json"
url = base_url if is_private_ip(ip_addr) else f"{base_url}/{ip_addr}"
resp = requests.get(url).json()
ip_info = {
"city": resp.get("cityName"),
"region": resp.get("regionName"),
"country": resp.get("countryName")
}
return ip_info
except Exception as e:
logging.error(f"Error getting client ip info: {e}")
return {}
def read_config(config_path):
with open(config_path, "r", encoding="utf-8") as file: