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my_handle.py
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my_handle.py
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import os, sys, threading, json, random
import difflib
import logging
from datetime import datetime
import traceback
import importlib
import pyautogui
import copy
import re
from .config import Config
from .common import Common
from .audio import Audio
from .gpt_model.gpt import GPT_MODEL
from .logger import Configure_logger
from .db import SQLiteDB
from .my_translate import My_Translate
"""
___ _
|_ _| | ____ _ _ __ ___ ___
| || |/ / _` | '__/ _ \/ __|
| || < (_| | | | (_) \__ \
|___|_|\_\__,_|_| \___/|___/
"""
class SingletonMeta(type):
_instances = {}
_lock = threading.Lock()
def __call__(cls, *args, **kwargs):
with cls._lock:
if cls not in cls._instances:
cls._instances[cls] = super(SingletonMeta, cls).__call__(*args, **kwargs)
return cls._instances[cls]
class My_handle(metaclass=SingletonMeta):
common = None
config = None
audio = None
my_translate = None
# 是否在数据处理中
is_handleing = 0
abnormal_alarm_data = {
"platform": {
"error_count": 0
},
"llm": {
"error_count": 0
},
"tts": {
"error_count": 0
},
"svc": {
"error_count": 0
},
"visual_body": {
"error_count": 0
},
"other": {
"error_count": 0
}
}
# 答谢板块文案数据临时存储
thanks_entrance_copy = []
thanks_gift_copy = []
thanks_follow_copy = []
def __init__(self, config_path):
logging.info("初始化My_handle...")
try:
if My_handle.common is None:
My_handle.common = Common()
if My_handle.config is None:
My_handle.config = Config(config_path)
if My_handle.audio is None:
My_handle.audio = Audio(config_path)
if My_handle.my_translate is None:
My_handle.my_translate = My_Translate(config_path)
# 日志文件路径
file_path = "./log/log-" + My_handle.common.get_bj_time(1) + ".txt"
Configure_logger(file_path)
self.proxy = None
# self.proxy = {
# "http": "http://127.0.0.1:10809",
# "https": "http://127.0.0.1:10809"
# }
# 数据丢弃部分相关的实现
self.data_lock = threading.Lock()
self.timers = {}
self.db = None
# 设置会话初始值
self.session_config = None
self.sessions = {}
self.current_key_index = 0
# 点歌模块
self.choose_song_song_lists = None
"""
新增LLM后，这边先定义下各个变量，下面会用到
"""
self.chatgpt = None
self.claude = None
self.claude2 = None
self.chatglm = None
self.qwen = None
self.chat_with_file = None
self.text_generation_webui = None
self.sparkdesk = None
self.langchain_chatglm = None
self.langchain_chatchat = None
self.zhipu = None
self.bard_api = None
self.yiyan = None
self.tongyi = None
self.tongyixingchen = None
self.my_qianfan = None
self.my_wenxinworkshop = None
self.gemini = None
self.qanything = None
self.koboldcpp = None
self.anythingllm = None
self.image_recognition_model = None
self.chat_type_list = ["chatgpt", "claude", "claude2", "chatglm", "qwen", "chat_with_file", "text_generation_webui", \
"sparkdesk", "langchain_chatglm", "langchain_chatchat", "zhipu", "bard", "yiyan", "tongyi", \
"tongyixingchen", "my_qianfan", "my_wenxinworkshop", "gemini", "qanything", "koboldcpp", "anythingllm"]
# 配置加载
self.config_load()
logging.info(f"配置数据加载成功。")
except Exception as e:
logging.error(traceback.format_exc())
# 是否位于数据处理状态
def is_handle_empty(self):
return My_handle.is_handleing
# 音频队列、播放相关情况
def is_audio_queue_empty(self):
return My_handle.audio.is_audio_queue_empty()
def get_chat_model(self, chat_type, config):
if chat_type == "claude":
self.claude = GPT_MODEL.get(chat_type)
if not self.claude.reset_claude():
logging.error("重置Claude会话失败喵~")
elif chat_type == "claude2":
GPT_MODEL.set_model_config(chat_type, config.get(chat_type))
self.claude2 = GPT_MODEL.get(chat_type)
if self.claude2.get_organization_id() is None:
logging.error("重置Claude2会话失败喵~")
else:
if chat_type in ["chatterbot", "chat_with_file"]:
# 对这些类型做特殊处理
pass
else:
GPT_MODEL.set_model_config(chat_type, config.get(chat_type))
self.__dict__[chat_type] = GPT_MODEL.get(chat_type)
def get_vision_model(self, chat_type, config):
GPT_MODEL.set_vision_model_config(chat_type, config)
self.image_recognition_model = GPT_MODEL.get(chat_type)
def handle_chat_type(self):
chat_type = My_handle.config.get("chat_type")
self.get_chat_model(chat_type, My_handle.config)
if chat_type == "chatterbot":
from chatterbot import ChatBot
self.chatterbot_config = My_handle.config.get("chatterbot")
try:
self.bot = ChatBot(
self.chatterbot_config["name"],
database_uri='sqlite:///' + self.chatterbot_config["db_path"]
)
except Exception as e:
logging.info(e)
exit(0)
elif chat_type == "chat_with_file":
from utils.chat_with_file.chat_with_file import Chat_with_file
self.chat_with_file = Chat_with_file(My_handle.config.get("chat_with_file"))
elif chat_type == "game":
self.game = importlib.import_module("game." + My_handle.config.get("game", "module_name"))
# 配置加载
def config_load(self):
self.session_config = {'msg': [{"role": "system", "content": My_handle.config.get('chatgpt', 'preset')}]}
# 设置GPT_Model全局模型列表
GPT_MODEL.set_model_config("openai", My_handle.config.get("openai"))
GPT_MODEL.set_model_config("chatgpt", My_handle.config.get("chatgpt"))
GPT_MODEL.set_model_config("claude", My_handle.config.get("claude"))
# 聊天相关类实例化
self.handle_chat_type()
# 判断是否使能了SD
if My_handle.config.get("sd")["enable"]:
from utils.sd import SD
self.sd = SD(My_handle.config.get("sd"))
# 日志文件路径
self.log_file_path = "./log/log-" + My_handle.common.get_bj_time(1) + ".txt"
if os.path.isfile(self.log_file_path):
logging.info(f'{self.log_file_path} 日志文件已存在，跳过')
else:
with open(self.log_file_path, 'w') as f:
f.write('')
logging.info(f'{self.log_file_path} 日志文件已创建')
# 生成弹幕文件
self.comment_file_path = "./log/comment-" + My_handle.common.get_bj_time(1) + ".txt"
if os.path.isfile(self.comment_file_path):
logging.info(f'{self.comment_file_path} 弹幕文件已存在，跳过')
else:
with open(self.comment_file_path, 'w') as f:
f.write('')
logging.info(f'{self.comment_file_path} 弹幕文件已创建')
"""
............. '>)xcn)I
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"""
try:
# 数据库
self.db = SQLiteDB(My_handle.config.get("database", "path"))
logging.info(f'创建数据库:{My_handle.config.get("database", "path")}')
# 创建弹幕表
create_table_sql = '''
CREATE TABLE IF NOT EXISTS danmu (
username TEXT NOT NULL,
content TEXT NOT NULL,
ts DATETIME NOT NULL
)
'''
self.db.execute(create_table_sql)
logging.debug('创建danmu（弹幕）表')
create_table_sql = '''
CREATE TABLE IF NOT EXISTS entrance (
username TEXT NOT NULL,
ts DATETIME NOT NULL
)
'''
self.db.execute(create_table_sql)
logging.debug('创建entrance（入场）表')
create_table_sql = '''
CREATE TABLE IF NOT EXISTS gift (
username TEXT NOT NULL,
gift_name TEXT NOT NULL,
gift_num INT NOT NULL,
unit_price REAL NOT NULL,
total_price REAL NOT NULL,
ts DATETIME NOT NULL
)
'''
self.db.execute(create_table_sql)
logging.debug('创建gift（礼物）表')
create_table_sql = '''
CREATE TABLE IF NOT EXISTS integral (
platform TEXT NOT NULL,
username TEXT NOT NULL,
uid TEXT NOT NULL,
integral INT NOT NULL,
view_num INT NOT NULL,
sign_num INT NOT NULL,
last_sign_ts DATETIME NOT NULL,
total_price INT NOT NULL,
last_ts DATETIME NOT NULL
)
'''
self.db.execute(create_table_sql)
logging.debug('创建integral（积分）表')
except Exception as e:
logging.error(traceback.format_exc())
# 重载config
def reload_config(self, config_path):
My_handle.config = Config(config_path)
My_handle.audio.reload_config(config_path)
My_handle.my_translate.reload_config(config_path)
self.config_load()
# 回传给webui，用于聊天内容显示
def webui_show_chat_log_callback(self, data_type: str, data: dict, resp_content: str):
"""回传给webui，用于聊天内容显示
Args:
data_type (str): 数据内容的类型（多指LLM）
data (dict): 数据JSON
resp_content (str): 显示的聊天内容的文本
"""
try:
if My_handle.config.get("talk", "show_chat_log") == True:
if "ori_username" not in data:
data["ori_username"] = data["username"]
if "ori_content" not in data:
data["ori_content"] = data["content"]
# 返回给webui的数据
return_webui_json = {
"type": "llm",
"data": {
"type": data_type,
"username": data["ori_username"],
"content_type": "answer",
"content": f"错误：{data_type}无返回，请查看日志" if resp_content is None else resp_content,
"timestamp": My_handle.common.get_bj_time(0)
}
}
tmp_json = My_handle.common.send_request(f'http://{My_handle.config.get("webui", "ip")}:{My_handle.config.get("webui", "port")}/callback', "POST", return_webui_json, timeout=30)
except Exception as e:
logging.error(traceback.format_exc())
# 获取房间号
def get_room_id(self):
return My_handle.config.get("room_display_id")
# 音频合成处理
def audio_synthesis_handle(self, data_json):
"""音频合成处理
Args:
data_json (dict): 传递的json数据
核心参数:
type目前有
reread_top_priority 最高优先级-复读
comment 弹幕
local_qa_audio 本地问答音频
song 歌曲
reread 复读
key_mapping 按键映射
integral 积分
read_comment 念弹幕
gift 礼物
entrance 用户入场
follow 用户关注
schedule 定时任务
idle_time_task 闲时任务
abnormal_alarm 异常报警
image_recognition_schedule 图像识别定时任务
"""
if "content" in data_json:
if data_json['content']:
# 替换文本内容中\n为空
data_json['content'] = data_json['content'].replace('\n', '')
# 如果虚拟身体-Unity，则发送数据到中转站
if My_handle.config.get("visual_body") == "unity":
# 判断 'config' 是否存在于字典中
if 'config' in data_json:
# 删除 'config' 对应的键值对
data_json.pop('config')
data_json["password"] = My_handle.config.get("unity", "password")
resp_json = My_handle.common.send_request(My_handle.config.get("unity", "api_ip_port"), "POST", data_json)
if resp_json:
if resp_json["code"] == 200:
logging.info("请求unity中转站成功")
else:
logging.info(f"请求unity中转站出错，{resp_json['message']}")
else:
logging.error("请求unity中转站失败")
else:
# 音频合成（edge-tts / vits_fast）并播放
My_handle.audio.audio_synthesis(data_json)
logging.debug(f'data_json={data_json}')
# 数据类型不在需要触发助播条件的范围内，则直接返回
if data_json["type"] not in My_handle.config.get("assistant_anchor", "type"):
return
# 1、匹配本地问答库 触发后不执行后面的其他功能
if My_handle.config.get("assistant_anchor", "local_qa", "text", "enable") == True:
# 根据类型，执行不同的问答匹配算法
if My_handle.config.get("assistant_anchor", "local_qa", "text", "format") == "text":
tmp = self.find_answer(data_json["content"], My_handle.config.get("assistant_anchor", "local_qa", "text", "file_path"), My_handle.config.get("assistant_anchor", "local_qa", "text", "similarity"))
else:
tmp = self.find_similar_answer(data_json["content"], My_handle.config.get("assistant_anchor", "local_qa", "text", "file_path"), My_handle.config.get("assistant_anchor", "local_qa", "text", "similarity"))
if tmp != None:
logging.info(f'触发本地问答库-文本 [{My_handle.config.get("assistant_anchor", "username")}]: {data_json["content"]}')
# 将问答库中设定的参数替换为指定内容，开发者可以自定义替换内容
# 假设有多个未知变量，用户可以在此处定义动态变量
variables = {
'cur_time': My_handle.common.get_bj_time(5),
'username': My_handle.config.get("assistant_anchor", "username")
}
# 使用字典进行字符串替换
if any(var in tmp for var in variables):
tmp = tmp.format(**{var: value for var, value in variables.items() if var in tmp})
logging.info(f"助播 本地问答库-文本回答为: {tmp}")
resp_content = tmp
# 将 AI 回复记录到日志文件中
with open(self.comment_file_path, "r+", encoding="utf-8") as f:
tmp_content = f.read()
# 将指针移到文件头部位置（此目的是为了让直播中读取日志文件时，可以一直让最新内容显示在顶部）
f.seek(0, 0)
# 不过这个实现方式，感觉有点低效
# 设置单行最大字符数，主要目的用于接入直播弹幕显示时，弹幕过长导致的显示溢出问题
max_length = 20
resp_content_substrings = [resp_content[i:i + max_length] for i in
range(0, len(resp_content), max_length)]
resp_content_joined = '\n'.join(resp_content_substrings)
# 根据 弹幕日志类型进行各类日志写入
if My_handle.config.get("comment_log_type") == "问答":
f.write(f'[{My_handle.config.get("assistant_anchor", "username")} 提问]:{data_json["content"]}\n[AI回复{My_handle.config.get("assistant_anchor", "username")}]:{resp_content_joined}\n' + tmp_content)
elif My_handle.config.get("comment_log_type") == "问题":
f.write(f'[{My_handle.config.get("assistant_anchor", "username")} 提问]:{data_json["content"]}\n' + tmp_content)
elif My_handle.config.get("comment_log_type") == "回答":
f.write(f'[AI回复{My_handle.config.get("assistant_anchor", "username")}]:{resp_content_joined}\n' + tmp_content)
message = {
"type": "assistant_anchor_text",
"tts_type": My_handle.config.get("assistant_anchor", "audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("assistant_anchor", "audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": My_handle.config.get("assistant_anchor", "username"),
"content": resp_content
}
if "insert_index" in message:
message["insert_index"] = data_json["insert_index"]
My_handle.audio.audio_synthesis(message)
return True
# 如果开启了助播功能，则根据当前播放内容的文本信息，进行助播音频的播放
if My_handle.config.get("assistant_anchor", "enable") == True:
# 2、匹配本地问答音频库 触发后不执行后面的其他功能
if My_handle.config.get("assistant_anchor", "local_qa", "audio", "enable") == True:
# 输出当前用户发送的弹幕消息
# logging.info(f"[{username}]: {content}")
# 获取本地问答音频库文件夹内所有的音频文件名
local_qa_audio_filename_list = My_handle.audio.get_dir_audios_filename(My_handle.config.get("assistant_anchor", "local_qa", "audio", "file_path"), type=1)
local_qa_audio_list = My_handle.audio.get_dir_audios_filename(My_handle.config.get("assistant_anchor", "local_qa", "audio", "file_path"), type=0)
if My_handle.config.get("assistant_anchor", "local_qa", "audio", "type") == "相似度匹配":
# 不含拓展名，在本地音频名列表中做查找
local_qv_audio_filename = My_handle.common.find_best_match(data_json["content"], local_qa_audio_filename_list, My_handle.config.get("assistant_anchor", "local_qa", "audio", "similarity"))
elif My_handle.config.get("assistant_anchor", "local_qa", "audio", "type") == "包含关系":
# 在本地音频名列表中查找是否包含于当前这个传入的文本内容
local_qv_audio_filename = My_handle.common.find_substring_in_list(data_json["content"], local_qa_audio_filename_list)
# print(f"local_qv_audio_filename={local_qv_audio_filename}")
# 找到了匹配的结果
if local_qv_audio_filename is not None:
logging.info(f'触发 助播 本地问答库-语音 [{My_handle.config.get("assistant_anchor", "username")}]: {data_json["content"]}')
# 把结果从原文件名列表中在查找一遍，补上拓展名。相似度设置为0，就能必定有返回的结果
local_qv_audio_filename = My_handle.common.find_best_match(local_qv_audio_filename, local_qa_audio_list, 0)
# 寻找对应的文件
resp_content = My_handle.audio.search_files(My_handle.config.get("assistant_anchor", "local_qa", "audio", "file_path"), local_qv_audio_filename)
if resp_content != []:
logging.debug(f"匹配到的音频原相对路径：{resp_content[0]}")
# 拼接音频文件路径
resp_content = f'{My_handle.config.get("assistant_anchor", "local_qa", "audio", "file_path")}/{resp_content[0]}'
logging.info(f"匹配到的音频路径：{resp_content}")
message = {
"type": "assistant_anchor_audio",
"tts_type": My_handle.config.get("assistant_anchor", "audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("assistant_anchor", "audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": My_handle.config.get("assistant_anchor", "username"),
"content": data_json["content"],
"file_path": resp_content
}
if "insert_index" in message:
message["insert_index"] = data_json["insert_index"]
My_handle.audio.audio_synthesis(message)
return True
# 从本地问答库中搜索问题的答案(文本数据是一问一答的单行格式)
def find_answer(self, question, qa_file_path, similarity=1):
"""从本地问答库中搜索问题的答案(文本数据是一问一答的单行格式)
Args:
question (str): 问题文本
qa_file_path (str): 问答库的路径
similarity (float): 相似度
Returns:
str: 答案文本 或 None
"""
with open(qa_file_path, 'r', encoding='utf-8') as file:
lines = file.readlines()
q_list = [lines[i].strip() for i in range(0, len(lines), 2)]
q_to_answer_index = {q: i + 1 for i, q in enumerate(q_list)}
q = My_handle.common.find_best_match(question, q_list, similarity)
# print(f"q={q}")
if q is not None:
answer_index = q_to_answer_index.get(q)
# print(f"answer_index={answer_index}")
if answer_index is not None and answer_index < len(lines):
return lines[answer_index * 2 - 1].strip()
return None
# 本地问答库 文本模式 根据相似度查找答案(文本数据是json格式)
def find_similar_answer(self, input_str, qa_file_path, min_similarity=0.8):
"""本地问答库 文本模式 根据相似度查找答案(文本数据是json格式)
Args:
input_str (str): 输入的待查找字符串
qa_file_path (str): 问答库的路径
min_similarity (float, optional): 最低匹配相似度. 默认 0.8.
Returns:
response (str): 匹配到的结果，如果匹配不到则返回None
"""
def load_data_from_file(file_path):
try:
with open(file_path, 'r', encoding='utf-8') as file:
data = json.load(file)
return data
except json.JSONDecodeError:
logging.error(traceback.format_exc())
logging.error(f"本地问答库 文本模式，JSON文件：{file_path}，加载失败，文件JSON格式出错，请进行修改匹配格式！")
return None
except FileNotFoundError:
logging.error(traceback.format_exc())
logging.error(f"本地问答库 文本模式，JSON文件：{file_path}不存在！")
return None
# 从文件加载数据
data = load_data_from_file(qa_file_path)
if data is None:
return None
# 存储相似度与回答的元组列表
similarity_responses = []
# 遍历json中的每个条目，找到与输入字符串相似的关键词
for entry in data:
for keyword in entry.get("关键词", []):
similarity = difflib.SequenceMatcher(None, input_str, keyword).ratio()
similarity_responses.append((similarity, entry.get("回答", [])))
# 过滤相似度低于设定阈值的回答
similarity_responses = [(similarity, response) for similarity, response in similarity_responses if similarity >= min_similarity]
# 如果没有符合条件的回答，返回None
if not similarity_responses:
return None
# 按相似度降序排序
similarity_responses.sort(reverse=True, key=lambda x: x[0])
# 获取相似度最高的回答列表
top_response = similarity_responses[0][1]
# 随机选择一个回答
response = random.choice(top_response)
return response
# 本地问答库 处理
def local_qa_handle(self, data):
"""本地问答库 处理
Args:
data (dict): 用户名 弹幕数据
Returns:
bool: 是否触发并处理
"""
username = data["username"]
content = data["content"]
# 合并字符串末尾连续的* 主要针对获取不到用户名的情况
username = My_handle.common.merge_consecutive_asterisks(username)
# 最大保留的用户名长度
username = username[:self.config.get("local_qa", "text", "username_max_len")]
# 1、匹配本地问答库 触发后不执行后面的其他功能
if My_handle.config.get("local_qa", "text", "enable") == True:
# 根据类型，执行不同的问答匹配算法
if My_handle.config.get("local_qa", "text", "type") == "text":
tmp = self.find_answer(content, My_handle.config.get("local_qa", "text", "file_path"), My_handle.config.get("local_qa", "text", "similarity"))
else:
tmp = self.find_similar_answer(content, My_handle.config.get("local_qa", "text", "file_path"), My_handle.config.get("local_qa", "text", "similarity"))
if tmp != None:
logging.info(f"触发本地问答库-文本 [{username}]: {content}")
# 将问答库中设定的参数替换为指定内容，开发者可以自定义替换内容
# 假设有多个未知变量，用户可以在此处定义动态变量
variables = {
'cur_time': My_handle.common.get_bj_time(5),
'username': username
}
# 使用字典进行字符串替换
if any(var in tmp for var in variables):
tmp = tmp.format(**{var: value for var, value in variables.items() if var in tmp})
logging.info(f"本地问答库-文本回答为: {tmp}")
resp_content = tmp
# 将 AI 回复记录到日志文件中
with open(self.comment_file_path, "r+", encoding="utf-8") as f:
tmp_content = f.read()
# 将指针移到文件头部位置（此目的是为了让直播中读取日志文件时，可以一直让最新内容显示在顶部）
f.seek(0, 0)
# 不过这个实现方式，感觉有点低效
# 设置单行最大字符数，主要目的用于接入直播弹幕显示时，弹幕过长导致的显示溢出问题
max_length = 20
resp_content_substrings = [resp_content[i:i + max_length] for i in
range(0, len(resp_content), max_length)]
resp_content_joined = '\n'.join(resp_content_substrings)
# 根据 弹幕日志类型进行各类日志写入
if My_handle.config.get("comment_log_type") == "问答":
f.write(f"[{username} 提问]:{content}\n[AI回复{username}]:{resp_content_joined}\n" + tmp_content)
elif My_handle.config.get("comment_log_type") == "问题":
f.write(f"[{username} 提问]:{content}\n" + tmp_content)
elif My_handle.config.get("comment_log_type") == "回答":
f.write(f"[AI回复{username}]:{resp_content_joined}\n" + tmp_content)
message = {
"type": "comment",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": resp_content
}
self.webui_show_chat_log_callback("本地问答-文本", data, resp_content)
self.audio_synthesis_handle(message)
return True
# 2、匹配本地问答音频库 触发后不执行后面的其他功能
if My_handle.config.get("local_qa")["audio"]["enable"] == True:
# 输出当前用户发送的弹幕消息
# logging.info(f"[{username}]: {content}")
# 获取本地问答音频库文件夹内所有的音频文件名
local_qa_audio_filename_list = My_handle.audio.get_dir_audios_filename(My_handle.config.get("local_qa", "audio", "file_path"), type=1)
local_qa_audio_list = My_handle.audio.get_dir_audios_filename(My_handle.config.get("local_qa", "audio", "file_path"), type=0)
# 不含拓展名做查找
local_qv_audio_filename = My_handle.common.find_best_match(content, local_qa_audio_filename_list, My_handle.config.get("local_qa", "audio", "similarity"))
# print(f"local_qv_audio_filename={local_qv_audio_filename}")
# 找到了匹配的结果
if local_qv_audio_filename is not None:
logging.info(f"触发本地问答库-语音 [{username}]: {content}")
# 把结果从原文件名列表中在查找一遍，补上拓展名
local_qv_audio_filename = My_handle.common.find_best_match(local_qv_audio_filename, local_qa_audio_list, 0)
# 寻找对应的文件
resp_content = My_handle.audio.search_files(My_handle.config.get("local_qa", "audio", "file_path"), local_qv_audio_filename)
if resp_content != []:
logging.debug(f"匹配到的音频原相对路径：{resp_content[0]}")
# 拼接音频文件路径
resp_content = f'{My_handle.config.get("local_qa", "audio", "file_path")}/{resp_content[0]}'
logging.info(f"匹配到的音频路径：{resp_content}")
message = {
"type": "local_qa_audio",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": content,
"file_path": resp_content
}
self.webui_show_chat_log_callback("本地问答-音频", data, resp_content)
self.audio_synthesis_handle(message)
return True
return False
# 点歌模式 处理
def choose_song_handle(self, data):
"""点歌模式 处理
Args:
data (dict): 用户名 弹幕数据
Returns:
bool: 是否触发并处理
"""
username = data["username"]
content = data["content"]
# 合并字符串末尾连续的* 主要针对获取不到用户名的情况
username = My_handle.common.merge_consecutive_asterisks(username)
if My_handle.config.get("choose_song")["enable"] == True:
start_cmd = My_handle.common.starts_with_any(content, My_handle.config.get("choose_song", "start_cmd"))
stop_cmd = My_handle.common.starts_with_any(content, My_handle.config.get("choose_song", "stop_cmd"))
random_cmd = My_handle.common.starts_with_any(content, My_handle.config.get("choose_song", "random_cmd"))
# 判断随机点歌命令是否正确
if random_cmd:
resp_content = My_handle.common.random_search_a_audio_file(My_handle.config.get("choose_song", "song_path"))
if resp_content is None:
return True
logging.info(f"随机到的音频路径：{resp_content}")
message = {
"type": "song",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": resp_content
}
self.audio_synthesis_handle(message)
self.webui_show_chat_log_callback("点歌", data, resp_content)
return True
# 判断点歌命令是否正确
elif start_cmd:
logging.info(f"[{username}]: {content}")
# 获取本地音频文件夹内所有的音频文件名（不含拓展名）
choose_song_song_lists = My_handle.audio.get_dir_audios_filename(My_handle.config.get("choose_song", "song_path"), 1)
# 去除命令前缀
content = content[len(start_cmd):]
# 说明用户仅发送命令，没有发送歌名，说明用户不会用
if content == "":
resp_content = f'点歌命令错误，命令为 {My_handle.config.get("choose_song", "start_cmd")}+歌名'
message = {
"type": "comment",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": resp_content
}
self.audio_synthesis_handle(message)
self.webui_show_chat_log_callback("点歌", data, resp_content)
return True
# 判断是否有此歌曲
song_filename = My_handle.common.find_best_match(content, choose_song_song_lists, similarity=My_handle.config.get("choose_song", "similarity"))
if song_filename is None:
# resp_content = f"抱歉，我还没学会唱{content}"
# 根据配置的 匹配失败回复文案来进行合成
resp_content = My_handle.config.get("choose_song", "match_fail_copy").format(content=content)
logging.info(f"[AI回复{username}]：{resp_content}")
message = {
"type": "comment",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": resp_content
}
self.audio_synthesis_handle(message)
self.webui_show_chat_log_callback("点歌", data, resp_content)
return True
resp_content = My_handle.audio.search_files(My_handle.config.get('choose_song', 'song_path'), song_filename, True)
if resp_content == []:
return True
logging.debug(f"匹配到的音频原相对路径：{resp_content[0]}")
# 拼接音频文件路径
resp_content = f"{My_handle.config.get('choose_song', 'song_path')}/{resp_content[0]}"
resp_content = os.path.abspath(resp_content)
logging.info(f"点歌成功！匹配到的音频路径：{resp_content}")
message = {
"type": "song",
"tts_type": My_handle.config.get("audio_synthesis_type"),
"data": My_handle.config.get(My_handle.config.get("audio_synthesis_type")),
"config": My_handle.config.get("filter"),
"username": username,
"content": resp_content
}
self.webui_show_chat_log_callback("点歌", data, resp_content)
self.audio_synthesis_handle(message)
return True
# 判断取消点歌命令是否正确
elif stop_cmd:
My_handle.audio.stop_current_audio()
return True
return False
"""
]@@@@@ =@@ @@^ =@@@@@@]. .@@` ./@@@ ,@@@^ /@^
@@^ @@* =@@ @@^ =@@ ,@@\ =@@ @@^
\@@]. =@@@@@.=@@@@@` =@@@@@@@. @@^ ./@@@@\. =@@ .@@^.@@.@@@@@@@@@@@.@@ @@^ /@@@@^ @@^ ./@@@@@] @@/@@@@.
,\@@\ @@* .]]/@@ =@@. =@\ @@^ @@\]]/@^ =@@ @@^.@@. =@@ @@^ .@@ @@^ @@\` @@^ @@^ \@^ @@` \@^
@@^ @@* ,@@` =@@ =@@ =@/ @@^ @@` =@@ ./@/ .@@. =@@ @@^ .@@. @@^ ,\@@ @@^ @@^ /@^ @@* =@^
.@@@@@@/ \@@@.@@@@@@@ =@@@@@@/ @@^ .\@@@@@. =@@@@@@/` .@@. =@@ @@^ =@@@@@@^.@@@@@^ @@^ .\@@@@@` @@* =@^
"""
# 画图模式 SD 处理
def sd_handle(self, data):
"""画图模式 SD 处理
Args:
data (dict): 用户名 弹幕数据
Returns:
bool: 是否触发并处理
"""
username = data["username"]
content = data["content"]
# 合并字符串末尾连续的* 主要针对获取不到用户名的情况
username = My_handle.common.merge_consecutive_asterisks(username)
if content.startswith(My_handle.config.get("sd", "trigger")):
# 违禁检测
content = self.prohibitions_handle(content)
if content is None:
return
if My_handle.config.get("sd", "enable") == False:
logging.info("您还未启用SD模式，无法使用画画功能")
return True
else:
# 输出当前用户发送的弹幕消息
logging.info(f"[{username}]: {content}")
# 删除文本中的命令前缀
content = content[len(My_handle.config.get("sd", "trigger")):]
if My_handle.config.get("sd", "translate_type") != "none":
# 判断翻译类型 进行翻译工作
tmp = My_handle.my_translate.trans(content, My_handle.config.get("sd", "translate_type"))
if tmp:
content = tmp
"""
根据聊天类型执行不同逻辑
"""
chat_type = My_handle.config.get("sd", "prompt_llm", "type")
if chat_type in self.chat_type_list:
content = My_handle.config.get("sd", "prompt_llm", "before_prompt") + \
content + My_handle.config.get("after_prompt")
data_json = {
"username": username,
"content": content,
"ori_username": data["username"],
"ori_content": data["content"]
}
resp_content = self.llm_handle(chat_type, data_json)
if resp_content is not None:
logging.info(f"[AI回复{username}]：{resp_content}")
else:
resp_content = ""
logging.warning(f"警告：{chat_type}无返回")
elif chat_type == "none" or chat_type == "reread" or chat_type == "game":
resp_content = content
else:
resp_content = content
logging.info(f"传给SD接口的内容：{resp_content}")
self.sd.process_input(resp_content)
return True
return False
# 弹幕格式检查和特殊字符替换
def comment_check_and_replace(self, content):
"""弹幕格式检查和特殊字符替换
Args:
content (str): 待处理的弹幕内容
Returns:
str: 处理完毕后的弹幕内容/None
"""
# 判断弹幕是否以xx起始，如果是则返回None
if My_handle.config.get("filter", "before_filter_str") and any(
content.startswith(prefix) for prefix in My_handle.config.get("filter", "before_filter_str")):
return None
# 判断弹幕是否以xx结尾，如果是则返回None
if My_handle.config.get("filter", "after_filter_str") and any(
content.endswith(prefix) for prefix in My_handle.config.get("filter", "after_filter_str")):
return None
# 判断弹幕是否以xx起始，如果不是则返回None
if My_handle.config.get("filter", "before_must_str") and not any(
content.startswith(prefix) for prefix in My_handle.config.get("filter", "before_must_str")):
return None
else:
for prefix in My_handle.config.get("filter", "before_must_str"):
if content.startswith(prefix):
content = content[len(prefix):] # 删除匹配的开头
break