使用docker搭建cow

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Alone
2024-10-22 15:03:21 +08:00
parent 41f8655aeb
commit ca219143d0
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import os
import re
import threading
import time
import requests
from asyncio import CancelledError
from concurrent.futures import Future, ThreadPoolExecutor
from bridge.context import *
from bridge.reply import *
from channel.channel import Channel
from common.dequeue import Dequeue
from common import memory
from plugins import *
try:
from voice.audio_convert import any_to_wav
except Exception as e:
pass
handler_pool = ThreadPoolExecutor(max_workers=8) # 处理消息的线程池
# 抽象类, 它包含了与消息通道无关的通用处理逻辑
class ChatChannel(Channel):
name = None # 登录的用户名
user_id = None # 登录的用户id
futures = {} # 记录每个session_id提交到线程池的future对象, 用于重置会话时把没执行的future取消掉,正在执行的不会被取消
sessions = {} # 用于控制并发,每个session_id同时只能有一个context在处理
lock = threading.Lock() # 用于控制对sessions的访问
def __init__(self):
_thread = threading.Thread(target=self.consume)
_thread.setDaemon(True)
_thread.start()
# 根据消息构造context,消息内容相关的触发项写在这里
def _compose_context(self, ctype: ContextType, content, **kwargs):
context = Context(ctype, content)
context.kwargs = kwargs
# context首次传入时,origin_ctype是None,
# 引入的起因是:当输入语音时,会嵌套生成两个context,第一步语音转文本,第二步通过文本生成文字回复。
# origin_ctype用于第二步文本回复时,判断是否需要匹配前缀,如果是私聊的语音,就不需要匹配前缀
if "origin_ctype" not in context:
context["origin_ctype"] = ctype
# context首次传入时,receiver是None,根据类型设置receiver
first_in = "receiver" not in context
# 群名匹配过程,设置session_id和receiver
if first_in: # context首次传入时,receiver是None,根据类型设置receiver
config = conf()
cmsg = context["msg"]
user_data = conf().get_user_data(cmsg.from_user_id)
context["openai_api_key"] = user_data.get("openai_api_key")
context["gpt_model"] = user_data.get("gpt_model")
if context.get("isgroup", False):
group_name = cmsg.other_user_nickname
group_id = cmsg.other_user_id
group_name_white_list = config.get("group_name_white_list", [])
group_name_keyword_white_list = config.get("group_name_keyword_white_list", [])
if any(
[
group_name in group_name_white_list,
"ALL_GROUP" in group_name_white_list,
check_contain(group_name, group_name_keyword_white_list),
]
):
group_chat_in_one_session = conf().get("group_chat_in_one_session", [])
session_id = cmsg.actual_user_id
if any(
[
group_name in group_chat_in_one_session,
"ALL_GROUP" in group_chat_in_one_session,
]
):
session_id = group_id
else:
logger.debug(f"No need reply, groupName not in whitelist, group_name={group_name}")
return None
context["session_id"] = session_id
context["receiver"] = group_id
else:
context["session_id"] = cmsg.other_user_id
context["receiver"] = cmsg.other_user_id
e_context = PluginManager().emit_event(EventContext(Event.ON_RECEIVE_MESSAGE, {"channel": self, "context": context}))
context = e_context["context"]
if e_context.is_pass() or context is None:
return context
if cmsg.from_user_id == self.user_id and not config.get("trigger_by_self", True):
logger.debug("[chat_channel]self message skipped")
return None
# 消息内容匹配过程,并处理content
if ctype == ContextType.TEXT:
if first_in and "\n- - - - - - -" in content: # 初次匹配 过滤引用消息
logger.debug(content)
logger.debug("[chat_channel]reference query skipped")
return None
pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
content_search = re.sub(pattern, r"", content)
if isinstance(context["msg"].at_list, list):
for at in context["msg"].at_list:
pattern = f"@{re.escape(at)}(\u2005|\u0020)"
content_search = re.sub(pattern, r"", content_search)
if content_search == content and context["msg"].self_display_name:
# 前缀移除后没有变化,使用群昵称再次移除
pattern = f"@{re.escape(context['msg'].self_display_name)}(\u2005|\u0020)"
content_search = re.sub(pattern, r"", content)
# 去除字符串开头和结尾的所有空格字符
content_search = content_search.strip()
# logger.info("[来消息了] content={}, content_search={}".format(content, content_search))
content_search = process_string(content_search)
nick_name_black_list = conf().get("nick_name_black_list", [])
if context.get("isgroup", False): # 群聊
if any(content_search.startswith(prefix) for prefix in ["搜剧", "", "全网搜"]) and not content_search.startswith("搜索"):
content_search = process_string2(content_search)
user_nickname = context['msg'].actual_user_nickname
reply_text = f"@{user_nickname}"
contentSearch = remove_prefix(content_search, ["搜剧", "", "全网搜"]).strip()
def perform_search():
# 初次搜索
response_data = search_question(contentSearch) if not content_search.startswith("全网搜") else []
if not response_data:
# 通知用户深入搜索
reply_text2 = f"@{user_nickname}\n正在深入搜索,请稍等..."
self._send_reply(context, Reply(ReplyType.TEXT, reply_text2))
# 启动线程进行第二次搜索
def perform_second_search():
response_data = search_alone(contentSearch)
send_final_reply(response_data, reply_text, context)
second_search_thread = threading.Thread(target=perform_second_search)
second_search_thread.start()
else:
# 如果第一次搜索找到结果,发送最终回复
send_final_reply(response_data, reply_text, context)
def send_final_reply(response_data, reply_text, context):
is_times = 0
if not response_data:
reply_text_final = f"{reply_text}\n未找到,可换个关键词尝试哦~"
reply_text_final += "\n⚠️宁少写,不多写、错写~"
# reply_text_final += "\n--------------------"
# reply_text_final += "\n可访问以下链接提交资源需求"
# reply_text_final += "\nhttps://pan.xinyuedh.com"
# reply_text_final += "\n--------------------"
# reply_text_final += "\nGPT小助手分享"
# reply_text_final += "\n--------------------"
# reply_text_final += "\nhttps://chat.xinyuedh.com"
else:
reply_text_final = f"{reply_text}\n--------------------"
for item in response_data:
if item.get('is_time') == 1:
reply_text_final += f"\n 🌐️ {item.get('title', '未知标题')}"
is_times += 1
else:
reply_text_final += f"\n{item.get('title', '未知标题')}"
reply_text_final += f"\n{item.get('url', '未知URL')}"
reply_text_final += "\n--------------------"
if is_times > 0:
reply_text_final += "\n 🌐️资源来源网络,30分钟后删除"
reply_text_final += "\n--------------------"
else:
reply_text_final += "\n 不是短剧?请尝试:全网搜XX"
reply_text_final += "\n--------------------"
reply_text_final += "\n欢迎观看!如果喜欢可以喊你的朋友一起来哦"
reply = Reply(ReplyType.TEXT, reply_text_final)
self._send_reply(context, reply)
# 启动线程执行第一次搜索
first_search_thread = threading.Thread(target=perform_search)
first_search_thread.start()
return None
# 校验关键字
match_prefix = check_prefix(content, conf().get("group_chat_prefix"))
match_contain = check_contain(content, conf().get("group_chat_keyword"))
flag = False
if context["msg"].to_user_id != context["msg"].actual_user_id:
if match_prefix is not None or match_contain is not None:
flag = True
if match_prefix:
content = content.replace(match_prefix, "", 1).strip()
if context["msg"].is_at:
nick_name = context["msg"].actual_user_nickname
if nick_name and nick_name in nick_name_black_list:
# 黑名单过滤
logger.warning(f"[chat_channel] Nickname {nick_name} in In BlackList, ignore")
return None
logger.info("[chat_channel]receive group at")
if not conf().get("group_at_off", False):
flag = True
pattern = f"@{re.escape(self.name)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", content)
if subtract_res.startswith(""):
subtract_res = "生成图片要求如下:\n" + subtract_res[1:]
if isinstance(context["msg"].at_list, list):
for at in context["msg"].at_list:
pattern = f"@{re.escape(at)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", subtract_res)
if subtract_res == content and context["msg"].self_display_name:
# 前缀移除后没有变化,使用群昵称再次移除
pattern = f"@{re.escape(context['msg'].self_display_name)}(\u2005|\u0020)"
subtract_res = re.sub(pattern, r"", content)
content = subtract_res
if not flag:
if context["origin_ctype"] == ContextType.VOICE:
logger.info("[chat_channel]receive group voice, but checkprefix didn't match")
return None
else: # 单聊
nick_name = context["msg"].from_user_nickname
if nick_name and nick_name in nick_name_black_list:
# 黑名单过滤
logger.warning(f"[chat_channel] Nickname '{nick_name}' in In BlackList, ignore")
return None
match_prefix = check_prefix(content, conf().get("single_chat_prefix", [""]))
if match_prefix is not None: # 判断如果匹配到自定义前缀,则返回过滤掉前缀+空格后的内容
content = content.replace(match_prefix, "", 1).strip()
elif context["origin_ctype"] == ContextType.VOICE: # 如果源消息是私聊的语音消息,允许不匹配前缀,放宽条件
pass
else:
return None
content = content.strip()
img_match_prefix = check_prefix(content, conf().get("image_create_prefix",[""]))
if img_match_prefix:
content = content.replace(img_match_prefix, "", 1)
context.type = ContextType.IMAGE_CREATE
else:
context.type = ContextType.TEXT
context.content = content.strip()
if "desire_rtype" not in context and conf().get("always_reply_voice") and ReplyType.VOICE not in self.NOT_SUPPORT_REPLYTYPE:
context["desire_rtype"] = ReplyType.VOICE
elif context.type == ContextType.VOICE:
if "desire_rtype" not in context and conf().get("voice_reply_voice") and ReplyType.VOICE not in self.NOT_SUPPORT_REPLYTYPE:
context["desire_rtype"] = ReplyType.VOICE
return context
def _handle(self, context: Context):
if context is None or not context.content:
return
logger.debug("[chat_channel] ready to handle context: {}".format(context))
# reply的构建步骤
reply = self._generate_reply(context)
logger.debug("[chat_channel] ready to decorate reply: {}".format(reply))
# reply的包装步骤
if reply and reply.content:
reply = self._decorate_reply(context, reply)
# reply的发送步骤
self._send_reply(context, reply)
def _generate_reply(self, context: Context, reply: Reply = Reply()) -> Reply:
e_context = PluginManager().emit_event(
EventContext(
Event.ON_HANDLE_CONTEXT,
{"channel": self, "context": context, "reply": reply},
)
)
reply = e_context["reply"]
if not e_context.is_pass():
logger.debug("[chat_channel] ready to handle context: type={}, content={}".format(context.type, context.content))
if context.type == ContextType.TEXT or context.type == ContextType.IMAGE_CREATE: # 文字和图片消息
context["channel"] = e_context["channel"]
reply = super().build_reply_content(context.content, context)
elif context.type == ContextType.VOICE: # 语音消息
cmsg = context["msg"]
cmsg.prepare()
file_path = context.content
wav_path = os.path.splitext(file_path)[0] + ".wav"
try:
any_to_wav(file_path, wav_path)
except Exception as e: # 转换失败,直接使用mp3,对于某些api,mp3也可以识别
logger.warning("[chat_channel]any to wav error, use raw path. " + str(e))
wav_path = file_path
# 语音识别
reply = super().build_voice_to_text(wav_path)
# 删除临时文件
try:
os.remove(file_path)
if wav_path != file_path:
os.remove(wav_path)
except Exception as e:
pass
# logger.warning("[chat_channel]delete temp file error: " + str(e))
if reply.type == ReplyType.TEXT:
new_context = self._compose_context(ContextType.TEXT, reply.content, **context.kwargs)
if new_context:
reply = self._generate_reply(new_context)
else:
return
elif context.type == ContextType.IMAGE: # 图片消息,当前仅做下载保存到本地的逻辑
memory.USER_IMAGE_CACHE[context["session_id"]] = {
"path": context.content,
"msg": context.get("msg")
}
elif context.type == ContextType.SHARING: # 分享信息,当前无默认逻辑
pass
elif context.type == ContextType.FUNCTION or context.type == ContextType.FILE: # 文件消息及函数调用等,当前无默认逻辑
pass
else:
logger.warning("[chat_channel] unknown context type: {}".format(context.type))
return
return reply
def _decorate_reply(self, context: Context, reply: Reply) -> Reply:
if reply and reply.type:
e_context = PluginManager().emit_event(
EventContext(
Event.ON_DECORATE_REPLY,
{"channel": self, "context": context, "reply": reply},
)
)
reply = e_context["reply"]
desire_rtype = context.get("desire_rtype")
if not e_context.is_pass() and reply and reply.type:
if reply.type in self.NOT_SUPPORT_REPLYTYPE:
logger.error("[chat_channel]reply type not support: " + str(reply.type))
reply.type = ReplyType.ERROR
reply.content = "不支持发送的消息类型: " + str(reply.type)
if reply.type == ReplyType.TEXT:
reply_text = reply.content
if desire_rtype == ReplyType.VOICE and ReplyType.VOICE not in self.NOT_SUPPORT_REPLYTYPE:
reply = super().build_text_to_voice(reply.content)
return self._decorate_reply(context, reply)
if context.get("isgroup", False):
if not context.get("no_need_at", False):
reply_text = "@" + context["msg"].actual_user_nickname + "\n" + reply_text.strip()
reply_text = conf().get("group_chat_reply_prefix", "") + reply_text + conf().get("group_chat_reply_suffix", "")
else:
reply_text = conf().get("single_chat_reply_prefix", "") + reply_text + conf().get("single_chat_reply_suffix", "")
reply.content = reply_text
elif reply.type == ReplyType.ERROR or reply.type == ReplyType.INFO:
reply.content = "[" + str(reply.type) + "]\n" + reply.content
elif reply.type == ReplyType.IMAGE_URL or reply.type == ReplyType.VOICE or reply.type == ReplyType.IMAGE or reply.type == ReplyType.FILE or reply.type == ReplyType.VIDEO or reply.type == ReplyType.VIDEO_URL:
pass
else:
logger.error("[chat_channel] unknown reply type: {}".format(reply.type))
return
if desire_rtype and desire_rtype != reply.type and reply.type not in [ReplyType.ERROR, ReplyType.INFO]:
logger.warning("[chat_channel] desire_rtype: {}, but reply type: {}".format(context.get("desire_rtype"), reply.type))
return reply
def _send_reply(self, context: Context, reply: Reply):
if reply and reply.type:
e_context = PluginManager().emit_event(
EventContext(
Event.ON_SEND_REPLY,
{"channel": self, "context": context, "reply": reply},
)
)
reply = e_context["reply"]
if not e_context.is_pass() and reply and reply.type:
logger.debug("[chat_channel] ready to send reply: {}, context: {}".format(reply, context))
self._send(reply, context)
def _send(self, reply: Reply, context: Context, retry_cnt=0):
try:
self.send(reply, context)
except Exception as e:
logger.error("[chat_channel] sendMsg error: {}".format(str(e)))
if isinstance(e, NotImplementedError):
return
logger.exception(e)
if retry_cnt < 2:
time.sleep(3 + 3 * retry_cnt)
self._send(reply, context, retry_cnt + 1)
def _success_callback(self, session_id, **kwargs): # 线程正常结束时的回调函数
logger.debug("Worker return success, session_id = {}".format(session_id))
def _fail_callback(self, session_id, exception, **kwargs): # 线程异常结束时的回调函数
logger.exception("Worker return exception: {}".format(exception))
def _thread_pool_callback(self, session_id, **kwargs):
def func(worker: Future):
try:
worker_exception = worker.exception()
if worker_exception:
self._fail_callback(session_id, exception=worker_exception, **kwargs)
else:
self._success_callback(session_id, **kwargs)
except CancelledError as e:
logger.info("Worker cancelled, session_id = {}".format(session_id))
except Exception as e:
logger.exception("Worker raise exception: {}".format(e))
with self.lock:
self.sessions[session_id][1].release()
return func
def produce(self, context: Context):
session_id = context["session_id"]
with self.lock:
if session_id not in self.sessions:
self.sessions[session_id] = [
Dequeue(),
threading.BoundedSemaphore(conf().get("concurrency_in_session", 4)),
]
if context.type == ContextType.TEXT and context.content.startswith("#"):
self.sessions[session_id][0].putleft(context) # 优先处理管理命令
else:
self.sessions[session_id][0].put(context)
# 消费者函数,单独线程,用于从消息队列中取出消息并处理
def consume(self):
while True:
with self.lock:
session_ids = list(self.sessions.keys())
for session_id in session_ids:
context_queue, semaphore = self.sessions[session_id]
if semaphore.acquire(blocking=False): # 等线程处理完毕才能删除
if not context_queue.empty():
context = context_queue.get()
logger.debug("[chat_channel] consume context: {}".format(context))
future: Future = handler_pool.submit(self._handle, context)
future.add_done_callback(self._thread_pool_callback(session_id, context=context))
if session_id not in self.futures:
self.futures[session_id] = []
self.futures[session_id].append(future)
elif semaphore._initial_value == semaphore._value + 1: # 除了当前,没有任务再申请到信号量,说明所有任务都处理完毕
self.futures[session_id] = [t for t in self.futures[session_id] if not t.done()]
assert len(self.futures[session_id]) == 0, "thread pool error"
del self.sessions[session_id]
else:
semaphore.release()
time.sleep(0.1)
# 取消session_id对应的所有任务,只能取消排队的消息和已提交线程池但未执行的任务
def cancel_session(self, session_id):
with self.lock:
if session_id in self.sessions:
for future in self.futures[session_id]:
future.cancel()
cnt = self.sessions[session_id][0].qsize()
if cnt > 0:
logger.info("Cancel {} messages in session {}".format(cnt, session_id))
self.sessions[session_id][0] = Dequeue()
def cancel_all_session(self):
with self.lock:
for session_id in self.sessions:
for future in self.futures[session_id]:
future.cancel()
cnt = self.sessions[session_id][0].qsize()
if cnt > 0:
logger.info("Cancel {} messages in session {}".format(cnt, session_id))
self.sessions[session_id][0] = Dequeue()
def check_prefix(content, prefix_list):
if not prefix_list:
return None
for prefix in prefix_list:
if content.startswith(prefix):
return prefix
return None
def check_contain(content, keyword_list):
if not keyword_list:
return None
for ky in keyword_list:
if content.find(ky) != -1:
return True
return None
def remove_prefix(content, prefixes):
for prefix in prefixes:
if content.startswith(prefix):
return content[len(prefix):].strip()
return content.strip()
def process_string(s):
# 判断是否以@开头并且包含"搜"字
if s.startswith('@') and '' in s:
# 找到"搜"字的位置
index = s.index('')
# 去除"搜"字前面的内容
return s[index:]
else:
return s
def process_string2(s):
# 判断是否包含@
if '@' in s:
# 找到@字符的位置
index = s.index('@')
# 删除包含@在内后面的所有字符
return s[:index]
else:
return s
def search_question(question):
url = conf().get("duanju_url", "") + '/api/search'
params = {
'is_time': '1',
'page_no': '1',
'page_size': '5',
'title': question
}
try:
response = requests.get(url, params=params)
response.raise_for_status() # 检查请求是否成功
responseData = response.json().get('data', {}).get('items', [])
return responseData
except requests.exceptions.RequestException as e:
print(f"Error fetching data: {e}")
return []
def search_alone(question):
url = conf().get("duanju_url", "") + '/api/other/all_search'
payload = {
'title': question
}
try:
response = requests.post(url, json=payload)
response.raise_for_status()
responseData = response.json().get('data', [])
return responseData
except requests.exceptions.RequestException as e:
print(f"Error fetching data: {e}")
return []
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{
"debug": true,
"duanju_url": "https://pan.xinyuedh.com",
"channel_type": "wx",
"model": "gpt-4",
"open_ai_api_key": "",
"open_ai_api_base": "",
"text_to_image": "dall-e-3",
"claude_api_key": "YOUR API KEY",
"voice_to_text": "openai",
"text_to_voice": "openai",
"proxy": "",
"hot_reload": true,
"single_chat_prefix": [""],
"single_chat_reply_prefix": "[bot]",
"group_chat_prefix": [
"@bot"
],
"group_name_white_list": [
"测试群群群",
"测试群群群2"
],
"image_create_prefix": [],
"speech_recognition": true,
"group_speech_recognition": false,
"voice_reply_voice": false,
"conversation_max_tokens": 2500,
"expires_in_seconds": 3600,
"character_desc": "你是基于大语言模型的AI智能助手,旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。",
"temperature": 0.7,
"subscribe_msg": "感谢您的关注!\n这里是AI智能助手,可以自由对话。\n支持语音对话。\n支持图片输入。\n支持图片输出,画字开头的消息将按要求创作图片。\n支持tool、角色扮演和文字冒险等丰富的插件。",
"use_linkai": false,
"linkai_api_key": "",
"linkai_app_code": "",
"linkai_api_base": ""
}
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# encoding:utf-8
import json
import logging
import os
import pickle
import copy
from common.log import logger
# 将所有可用的配置项写在字典里, 请使用小写字母
# 此处的配置值无实际意义,程序不会读取此处的配置,仅用于提示格式,请将配置加入到config.json中
available_setting = {
# 你的心悦搜索网址
"duanju_url": "",
# openai api配置
"open_ai_api_key": "", # openai api key
# openai apibase,当use_azure_chatgpt为true时,需要设置对应的api base
"open_ai_api_base": "https://api.openai.com/v1",
"proxy": "", # openai使用的代理
# chatgpt模型, 当use_azure_chatgpt为true时,其名称为Azure上model deployment名称
"model": "gpt-3.5-turbo", # 可选择: gpt-4o, pt-4o-mini, gpt-4-turbo, claude-3-sonnet, wenxin, moonshot, qwen-turbo, xunfei, glm-4, minimax, gemini等模型,全部可选模型详见common/const.py文件
"bot_type": "", # 可选配置,使用兼容openai格式的三方服务时候,需填"chatGPT"。bot具体名称详见common/const.py文件列出的bot_type,如不填根据model名称判断,
"use_azure_chatgpt": False, # 是否使用azure的chatgpt
"azure_deployment_id": "", # azure 模型部署名称
"azure_api_version": "", # azure api版本
# Bot触发配置
"single_chat_prefix": ["bot", "@bot"], # 私聊时文本需要包含该前缀才能触发机器人回复
"single_chat_reply_prefix": "[bot] ", # 私聊时自动回复的前缀,用于区分真人
"single_chat_reply_suffix": "", # 私聊时自动回复的后缀,\n 可以换行
"group_chat_prefix": ["@bot"], # 群聊时包含该前缀则会触发机器人回复
"no_need_at": False, # 群聊回复时是否不需要艾特
"group_chat_reply_prefix": "", # 群聊时自动回复的前缀
"group_chat_reply_suffix": "", # 群聊时自动回复的后缀,\n 可以换行
"group_chat_keyword": [], # 群聊时包含该关键词则会触发机器人回复
"group_at_off": False, # 是否关闭群聊时@bot的触发
"group_name_white_list": ["ChatGPT测试群", "ChatGPT测试群2"], # 开启自动回复的群名称列表
"group_name_keyword_white_list": [], # 开启自动回复的群名称关键词列表
"group_chat_in_one_session": ["ChatGPT测试群"], # 支持会话上下文共享的群名称
"nick_name_black_list": [], # 用户昵称黑名单
"group_welcome_msg": "", # 配置新人进群固定欢迎语,不配置则使用随机风格欢迎
"trigger_by_self": False, # 是否允许机器人触发
"text_to_image": "dall-e-2", # 图片生成模型,可选 dall-e-2, dall-e-3
# Azure OpenAI dall-e-3 配置
"dalle3_image_style": "vivid", # 图片生成dalle3的风格,可选有 vivid, natural
"dalle3_image_quality": "hd", # 图片生成dalle3的质量,可选有 standard, hd
# Azure OpenAI DALL-E API 配置, 当use_azure_chatgpt为true时,用于将文字回复的资源和Dall-E的资源分开.
"azure_openai_dalle_api_base": "", # [可选] azure openai 用于回复图片的资源 endpoint,默认使用 open_ai_api_base
"azure_openai_dalle_api_key": "", # [可选] azure openai 用于回复图片的资源 key,默认使用 open_ai_api_key
"azure_openai_dalle_deployment_id":"", # [可选] azure openai 用于回复图片的资源 deployment id,默认使用 text_to_image
"image_proxy": True, # 是否需要图片代理,国内访问LinkAI时需要
"image_create_prefix": ["", "", ""], # 开启图片回复的前缀
"concurrency_in_session": 1, # 同一会话最多有多少条消息在处理中,大于1可能乱序
"image_create_size": "256x256", # 图片大小,可选有 256x256, 512x512, 1024x1024 (dall-e-3默认为1024x1024)
"group_chat_exit_group": False,
# chatgpt会话参数
"expires_in_seconds": 3600, # 无操作会话的过期时间
# 人格描述
"character_desc": "你是ChatGPT, 一个由OpenAI训练的大型语言模型, 你旨在回答并解决人们的任何问题,并且可以使用多种语言与人交流。",
"conversation_max_tokens": 1000, # 支持上下文记忆的最多字符数
# chatgpt限流配置
"rate_limit_chatgpt": 20, # chatgpt的调用频率限制
"rate_limit_dalle": 50, # openai dalle的调用频率限制
# chatgpt api参数 参考https://platform.openai.com/docs/api-reference/chat/create
"temperature": 0.9,
"top_p": 1,
"frequency_penalty": 0,
"presence_penalty": 0,
"request_timeout": 180, # chatgpt请求超时时间,openai接口默认设置为600,对于难问题一般需要较长时间
"timeout": 120, # chatgpt重试超时时间,在这个时间内,将会自动重试
# Baidu 文心一言参数
"baidu_wenxin_model": "eb-instant", # 默认使用ERNIE-Bot-turbo模型
"baidu_wenxin_api_key": "", # Baidu api key
"baidu_wenxin_secret_key": "", # Baidu secret key
"baidu_wenxin_prompt_enabled": False, # Enable prompt if you are using ernie character model
# 讯飞星火API
"xunfei_app_id": "", # 讯飞应用ID
"xunfei_api_key": "", # 讯飞 API key
"xunfei_api_secret": "", # 讯飞 API secret
"xunfei_domain": "", # 讯飞模型对应的domain参数,Spark4.0 Ultra为 4.0Ultra,其他模型详见: https://www.xfyun.cn/doc/spark/Web.html
"xunfei_spark_url": "", # 讯飞模型对应的请求地址,Spark4.0 Ultra为 wss://spark-api.xf-yun.com/v4.0/chat,其他模型参考详见: https://www.xfyun.cn/doc/spark/Web.html
# claude 配置
"claude_api_cookie": "",
"claude_uuid": "",
# claude api key
"claude_api_key": "",
# 通义千问API, 获取方式查看文档 https://help.aliyun.com/document_detail/2587494.html
"qwen_access_key_id": "",
"qwen_access_key_secret": "",
"qwen_agent_key": "",
"qwen_app_id": "",
"qwen_node_id": "", # 流程编排模型用到的id,如果没有用到qwen_node_id,请务必保持为空字符串
# 阿里灵积(通义新版sdk)模型api key
"dashscope_api_key": "",
# Google Gemini Api Key
"gemini_api_key": "",
# wework的通用配置
"wework_smart": True, # 配置wework是否使用已登录的企业微信,False为多开
# 语音设置
"speech_recognition": True, # 是否开启语音识别
"group_speech_recognition": False, # 是否开启群组语音识别
"voice_reply_voice": False, # 是否使用语音回复语音,需要设置对应语音合成引擎的api key
"always_reply_voice": False, # 是否一直使用语音回复
"voice_to_text": "openai", # 语音识别引擎,支持openai,baidu,google,azure,xunfei,ali
"text_to_voice": "openai", # 语音合成引擎,支持openai,baidu,google,azure,xunfei,ali,pytts(offline),elevenlabs,edge(online)
"text_to_voice_model": "tts-1",
"tts_voice_id": "alloy",
# baidu 语音api配置, 使用百度语音识别和语音合成时需要
"baidu_app_id": "",
"baidu_api_key": "",
"baidu_secret_key": "",
# 1536普通话(支持简单的英文识别) 1737英语 1637粤语 1837四川话 1936普通话远场
"baidu_dev_pid": 1536,
# azure 语音api配置, 使用azure语音识别和语音合成时需要
"azure_voice_api_key": "",
"azure_voice_region": "japaneast",
# elevenlabs 语音api配置
"xi_api_key": "", # 获取ap的方法可以参考https://docs.elevenlabs.io/api-reference/quick-start/authentication
"xi_voice_id": "", # ElevenLabs提供了9种英式、美式等英语发音id,分别是“Adam/Antoni/Arnold/Bella/Domi/Elli/Josh/Rachel/Sam”
# 服务时间限制,目前支持itchat
"chat_time_module": False, # 是否开启服务时间限制
"chat_start_time": "00:00", # 服务开始时间
"chat_stop_time": "24:00", # 服务结束时间
# 翻译api
"translate": "baidu", # 翻译api,支持baidu
# baidu翻译api的配置
"baidu_translate_app_id": "", # 百度翻译api的appid
"baidu_translate_app_key": "", # 百度翻译api的秘钥
# itchat的配置
"hot_reload": False, # 是否开启热重载
# wechaty的配置
"wechaty_puppet_service_token": "", # wechaty的token
# wechatmp的配置
"wechatmp_token": "", # 微信公众平台的Token
"wechatmp_port": 8080, # 微信公众平台的端口,需要端口转发到80或443
"wechatmp_app_id": "", # 微信公众平台的appID
"wechatmp_app_secret": "", # 微信公众平台的appsecret
"wechatmp_aes_key": "", # 微信公众平台的EncodingAESKey,加密模式需要
# wechatcom的通用配置
"wechatcom_corp_id": "", # 企业微信公司的corpID
# wechatcomapp的配置
"wechatcomapp_token": "", # 企业微信app的token
"wechatcomapp_port": 9898, # 企业微信app的服务端口,不需要端口转发
"wechatcomapp_secret": "", # 企业微信app的secret
"wechatcomapp_agent_id": "", # 企业微信app的agent_id
"wechatcomapp_aes_key": "", # 企业微信app的aes_key
# 飞书配置
"feishu_port": 80, # 飞书bot监听端口
"feishu_app_id": "", # 飞书机器人应用APP Id
"feishu_app_secret": "", # 飞书机器人APP secret
"feishu_token": "", # 飞书 verification token
"feishu_bot_name": "", # 飞书机器人的名字
# 钉钉配置
"dingtalk_client_id": "", # 钉钉机器人Client ID
"dingtalk_client_secret": "", # 钉钉机器人Client Secret
"dingtalk_card_enabled": False,
# chatgpt指令自定义触发词
"clear_memory_commands": ["#清除记忆"], # 重置会话指令,必须以#开头
# channel配置
"channel_type": "", # 通道类型,支持:{wx,wxy,terminal,wechatmp,wechatmp_service,wechatcom_app,dingtalk}
"subscribe_msg": "", # 订阅消息, 支持: wechatmp, wechatmp_service, wechatcom_app
"debug": False, # 是否开启debug模式,开启后会打印更多日志
"appdata_dir": "", # 数据目录
# 插件配置
"plugin_trigger_prefix": "$", # 规范插件提供聊天相关指令的前缀,建议不要和管理员指令前缀"#"冲突
# 是否使用全局插件配置
"use_global_plugin_config": False,
"max_media_send_count": 3, # 单次最大发送媒体资源的个数
"media_send_interval": 1, # 发送图片的事件间隔,单位秒
# 智谱AI 平台配置
"zhipu_ai_api_key": "",
"zhipu_ai_api_base": "https://open.bigmodel.cn/api/paas/v4",
"moonshot_api_key": "",
"moonshot_base_url": "https://api.moonshot.cn/v1/chat/completions",
# LinkAI平台配置
"use_linkai": False,
"linkai_api_key": "",
"linkai_app_code": "",
"linkai_api_base": "https://api.link-ai.tech", # linkAI服务地址
"Minimax_api_key": "",
"Minimax_group_id": "",
"Minimax_base_url": "",
}
class Config(dict):
def __init__(self, d=None):
super().__init__()
if d is None:
d = {}
for k, v in d.items():
self[k] = v
# user_datas: 用户数据,key为用户名,value为用户数据,也是dict
self.user_datas = {}
def __getitem__(self, key):
if key not in available_setting:
raise Exception("key {} not in available_setting".format(key))
return super().__getitem__(key)
def __setitem__(self, key, value):
if key not in available_setting:
raise Exception("key {} not in available_setting".format(key))
return super().__setitem__(key, value)
def get(self, key, default=None):
try:
return self[key]
except KeyError as e:
return default
except Exception as e:
raise e
# Make sure to return a dictionary to ensure atomic
def get_user_data(self, user) -> dict:
if self.user_datas.get(user) is None:
self.user_datas[user] = {}
return self.user_datas[user]
def load_user_datas(self):
try:
with open(os.path.join(get_appdata_dir(), "user_datas.pkl"), "rb") as f:
self.user_datas = pickle.load(f)
logger.info("[Config] User datas loaded.")
except FileNotFoundError as e:
logger.info("[Config] User datas file not found, ignore.")
except Exception as e:
logger.info("[Config] User datas error: {}".format(e))
self.user_datas = {}
def save_user_datas(self):
try:
with open(os.path.join(get_appdata_dir(), "user_datas.pkl"), "wb") as f:
pickle.dump(self.user_datas, f)
logger.info("[Config] User datas saved.")
except Exception as e:
logger.info("[Config] User datas error: {}".format(e))
config = Config()
def drag_sensitive(config):
try:
if isinstance(config, str):
conf_dict: dict = json.loads(config)
conf_dict_copy = copy.deepcopy(conf_dict)
for key in conf_dict_copy:
if "key" in key or "secret" in key:
if isinstance(conf_dict_copy[key], str):
conf_dict_copy[key] = conf_dict_copy[key][0:3] + "*" * 5 + conf_dict_copy[key][-3:]
return json.dumps(conf_dict_copy, indent=4)
elif isinstance(config, dict):
config_copy = copy.deepcopy(config)
for key in config:
if "key" in key or "secret" in key:
if isinstance(config_copy[key], str):
config_copy[key] = config_copy[key][0:3] + "*" * 5 + config_copy[key][-3:]
return config_copy
except Exception as e:
logger.exception(e)
return config
return config
def load_config():
global config
config_path = "./config.json"
if not os.path.exists(config_path):
logger.info("配置文件不存在,将使用config-template.json模板")
config_path = "./config-template.json"
config_str = read_file(config_path)
logger.debug("[INIT] config str: {}".format(drag_sensitive(config_str)))
# 将json字符串反序列化为dict类型
config = Config(json.loads(config_str))
# override config with environment variables.
# Some online deployment platforms (e.g. Railway) deploy project from github directly. So you shouldn't put your secrets like api key in a config file, instead use environment variables to override the default config.
for name, value in os.environ.items():
name = name.lower()
if name in available_setting:
logger.info("[INIT] override config by environ args: {}={}".format(name, value))
try:
config[name] = eval(value)
except:
if value == "false":
config[name] = False
elif value == "true":
config[name] = True
else:
config[name] = value
if config.get("debug", False):
logger.setLevel(logging.DEBUG)
logger.debug("[INIT] set log level to DEBUG")
logger.info("[INIT] load config: {}".format(drag_sensitive(config)))
config.load_user_datas()
def get_root():
return os.path.dirname(os.path.abspath(__file__))
def read_file(path):
with open(path, mode="r", encoding="utf-8") as f:
return f.read()
def conf():
return config
def get_appdata_dir():
data_path = os.path.join(get_root(), conf().get("appdata_dir", ""))
if not os.path.exists(data_path):
logger.info("[INIT] data path not exists, create it: {}".format(data_path))
os.makedirs(data_path)
return data_path
def subscribe_msg():
trigger_prefix = conf().get("single_chat_prefix", [""])[0]
msg = conf().get("subscribe_msg", "")
return msg.format(trigger_prefix=trigger_prefix)
# global plugin config
plugin_config = {}
def write_plugin_config(pconf: dict):
"""
写入插件全局配置
:param pconf: 全量插件配置
"""
global plugin_config
for k in pconf:
plugin_config[k.lower()] = pconf[k]
def pconf(plugin_name: str) -> dict:
"""
根据插件名称获取配置
:param plugin_name: 插件名称
:return: 该插件的配置项
"""
return plugin_config.get(plugin_name.lower())
# 全局配置,用于存放全局生效的状态
global_config = {"admin_users": []}
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version: '2.0'
services:
chatgpt-on-wechat:
image: zhayujie/chatgpt-on-wechat
container_name: chatgpt-on-wechat
security_opt:
- seccomp:unconfined
volumes:
- ./config.json:/app/config.json
- ./config.py:/app/config.py
- ./chat_channel.py:/app/channel/chat_channel.py
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打开config.json 修改第3行网址即可,其它功能看官方教程
在chatgpt-on-wechat所在目录下执行以下命令启动容器:
sudo docker compose up -d
用python搭建的不用换,一段时间后还是会出现无响应断开的情况