Compare commits
41 Commits
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| a13562dcea | |||
| d7a0c0d1d0 | |||
| c0729b2d29 | |||
| a80f474290 |
@@ -10,3 +10,4 @@ cmd_config.json
|
||||
addons/plugins/
|
||||
data/*
|
||||
cookies.json
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||||
logs/
|
||||
|
||||
@@ -133,7 +133,7 @@
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||||
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||||
- `LLMS`: https://github.com/Soulter/llms | Claude, HuggingChat 大语言模型接入。
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|
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- `GoodPlugins`: https://github.com/Soulter/goodplugins | 随机动漫图片、搜番、喜报生成器等等
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- `GoodPlugins`: https://github.com/Soulter/goodplugins | 随机动漫图片、搜番、喜报生成器等。
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||||
|
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- `sysstat`: https://github.com/Soulter/sysstatqcbot | 查看系统状态
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||||
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@@ -141,6 +141,8 @@
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- `liferestart`: https://github.com/Soulter/liferestart | 人生重开模拟器
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- `astrbot_plugin_aiocqhttp`: https://github.com/Soulter/astrbot_plugin_aiocqhttp | aiocqhttp 适配器,支持接入支持反向 WS 的 OneBot 协议实现,如 Lagrange.OneBot,Shamrock 等。
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||||
|
||||
|
||||
<img width="900" alt="image" src="https://github.com/Soulter/AstrBot/assets/37870767/824d1ff3-7b85-481c-b795-8e62dedb9fd7">
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||||
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@@ -11,6 +11,10 @@ import threading
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import time
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import asyncio
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from util.plugin_dev.api.v1.config import update_config
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from SparkleLogging.utils.core import LogManager
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from logging import Logger
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logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
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@dataclass
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@@ -28,7 +32,6 @@ class DashBoardHelper():
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def __init__(self, global_object, config: dict):
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self.loop = asyncio.new_event_loop()
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asyncio.set_event_loop(self.loop)
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self.logger = global_object.logger
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dashboard_data = global_object.dashboard_data
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dashboard_data.configs = {
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"data": []
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@@ -42,7 +45,6 @@ class DashBoardHelper():
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@self.dashboard.register("post_configs")
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def on_post_configs(post_configs: dict):
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try:
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# self.logger.log(f"收到配置更新请求", gu.LEVEL_INFO, tag="可视化面板")
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if 'base_config' in post_configs:
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self.save_config(
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post_configs['base_config'], namespace='') # 基础配置
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@@ -54,7 +56,6 @@ class DashBoardHelper():
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threading.Thread(target=self.dashboard.shutdown_bot,
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args=(2,), daemon=True).start()
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except Exception as e:
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# self.logger.log(f"在保存配置时发生错误:{e}", gu.LEVEL_ERROR, tag="可视化面板")
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raise e
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# 将 config.yaml、 中的配置解析到 dashboard_data.configs 中
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@@ -118,14 +119,14 @@ class DashBoardHelper():
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)
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qq_gocq_platform_group = DashBoardConfig(
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config_type="group",
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name="OneBot协议平台配置",
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name="go-cqhttp",
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description="",
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body=[
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DashBoardConfig(
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config_type="item",
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val_type="bool",
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||||
name="启用",
|
||||
description="支持cq-http、shamrock等(目前仅支持QQ平台)",
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description="",
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||||
value=config['gocqbot']['enable'],
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||||
path="gocqbot.enable",
|
||||
),
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||||
@@ -470,7 +471,7 @@ class DashBoardHelper():
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||||
]
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||||
|
||||
except Exception as e:
|
||||
self.logger.log(f"配置文件解析错误:{e}", gu.LEVEL_ERROR)
|
||||
logger.error(f"配置文件解析错误:{e}")
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||||
raise e
|
||||
|
||||
def save_config(self, post_config: list, namespace: str):
|
||||
|
||||
+55
-31
@@ -1,13 +1,3 @@
|
||||
from flask import Flask, request
|
||||
from flask.logging import default_handler
|
||||
from werkzeug.serving import make_server
|
||||
from util import general_utils as gu
|
||||
from dataclasses import dataclass
|
||||
import logging
|
||||
from cores.database.conn import dbConn
|
||||
from util.cmd_config import CmdConfig
|
||||
from util.updator import check_update, update_project, request_release_info
|
||||
from cores.astrbot.types import *
|
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import util.plugin_util as putil
|
||||
import websockets
|
||||
import json
|
||||
@@ -17,6 +7,19 @@ import os
|
||||
import sys
|
||||
import time
|
||||
|
||||
from flask import Flask, request
|
||||
from flask.logging import default_handler
|
||||
from werkzeug.serving import make_server
|
||||
from util import general_utils as gu
|
||||
from dataclasses import dataclass
|
||||
from persist.session import dbConn
|
||||
from type.register import RegisteredPlugin
|
||||
from typing import List
|
||||
from util.cmd_config import CmdConfig
|
||||
from util.updator import check_update, update_project, request_release_info, _reboot
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
@dataclass
|
||||
class DashBoardData():
|
||||
@@ -41,11 +44,8 @@ class AstrBotDashBoard():
|
||||
self.dashboard_data: DashBoardData = global_object.dashboard_data
|
||||
self.dashboard_be = Flask(
|
||||
__name__, static_folder="dist", static_url_path="/")
|
||||
log = logging.getLogger('werkzeug')
|
||||
log.setLevel(logging.ERROR)
|
||||
self.funcs = {}
|
||||
self.cc = CmdConfig()
|
||||
self.logger = global_object.logger
|
||||
self.ws_clients = {} # remote_ip: ws
|
||||
# 启动 websocket 服务器
|
||||
self.ws_server = websockets.serve(self.__handle_msg, "0.0.0.0", 6186)
|
||||
@@ -55,6 +55,22 @@ class AstrBotDashBoard():
|
||||
# 返回页面
|
||||
return self.dashboard_be.send_static_file("index.html")
|
||||
|
||||
@self.dashboard_be.get("/config")
|
||||
def rt_config():
|
||||
return self.dashboard_be.send_static_file("index.html")
|
||||
|
||||
@self.dashboard_be.get("/logs")
|
||||
def rt_logs():
|
||||
return self.dashboard_be.send_static_file("index.html")
|
||||
|
||||
@self.dashboard_be.get("/extension")
|
||||
def rt_extension():
|
||||
return self.dashboard_be.send_static_file("index.html")
|
||||
|
||||
@self.dashboard_be.get("/dashboard/default")
|
||||
def rt_dashboard():
|
||||
return self.dashboard_be.send_static_file("index.html")
|
||||
|
||||
@self.dashboard_be.post("/api/authenticate")
|
||||
def authenticate():
|
||||
username = self.cc.get("dashboard_username", "")
|
||||
@@ -179,9 +195,9 @@ class AstrBotDashBoard():
|
||||
post_data = request.json
|
||||
repo_url = post_data["url"]
|
||||
try:
|
||||
self.logger.log(f"正在安装插件 {repo_url}", tag="可视化面板")
|
||||
logger.info(f"正在安装插件 {repo_url}")
|
||||
putil.install_plugin(repo_url, self.dashboard_data.plugins)
|
||||
self.logger.log(f"安装插件 {repo_url} 成功", tag="可视化面板")
|
||||
logger.info(f"安装插件 {repo_url} 成功")
|
||||
return Response(
|
||||
status="success",
|
||||
message="安装成功~",
|
||||
@@ -199,10 +215,10 @@ class AstrBotDashBoard():
|
||||
post_data = request.json
|
||||
plugin_name = post_data["name"]
|
||||
try:
|
||||
self.logger.log(f"正在卸载插件 {plugin_name}", tag="可视化面板")
|
||||
logger.info(f"正在卸载插件 {plugin_name}")
|
||||
putil.uninstall_plugin(
|
||||
plugin_name, self.dashboard_data.plugins)
|
||||
self.logger.log(f"卸载插件 {plugin_name} 成功", tag="可视化面板")
|
||||
logger.info(f"卸载插件 {plugin_name} 成功")
|
||||
return Response(
|
||||
status="success",
|
||||
message="卸载成功~",
|
||||
@@ -220,9 +236,9 @@ class AstrBotDashBoard():
|
||||
post_data = request.json
|
||||
plugin_name = post_data["name"]
|
||||
try:
|
||||
self.logger.log(f"正在更新插件 {plugin_name}", tag="可视化面板")
|
||||
logger.info(f"正在更新插件 {plugin_name}")
|
||||
putil.update_plugin(plugin_name, self.dashboard_data.plugins)
|
||||
self.logger.log(f"更新插件 {plugin_name} 成功", tag="可视化面板")
|
||||
logger.info(f"更新插件 {plugin_name} 成功")
|
||||
return Response(
|
||||
status="success",
|
||||
message="更新成功~",
|
||||
@@ -328,8 +344,7 @@ class AstrBotDashBoard():
|
||||
|
||||
def shutdown_bot(self, delay_s: int):
|
||||
time.sleep(delay_s)
|
||||
py = sys.executable
|
||||
os.execl(py, py, *sys.argv)
|
||||
_reboot()
|
||||
|
||||
def _get_configs(self, namespace: str):
|
||||
if namespace == "":
|
||||
@@ -374,13 +389,13 @@ class AstrBotDashBoard():
|
||||
},
|
||||
{
|
||||
"title": "QQ_OFFICIAL",
|
||||
"desc": "QQ官方API,仅支持频道",
|
||||
"desc": "QQ官方API。支持频道、群(需获得群权限)",
|
||||
"namespace": "internal_platform_qq_official",
|
||||
"tag": ""
|
||||
},
|
||||
{
|
||||
"title": "OneBot协议",
|
||||
"desc": "支持cq-http、shamrock等(目前仅支持QQ平台)",
|
||||
"title": "go-cqhttp",
|
||||
"desc": "第三方 QQ 协议实现。支持频道、群",
|
||||
"namespace": "internal_platform_qq_gocq",
|
||||
"tag": ""
|
||||
}
|
||||
@@ -416,21 +431,29 @@ class AstrBotDashBoard():
|
||||
return func
|
||||
return decorator
|
||||
|
||||
async def get_log_history(self):
|
||||
try:
|
||||
with open("logs/astrbot-core/astrbot-core.log", "r", encoding="utf-8") as f:
|
||||
return f.readlines()[-100:]
|
||||
except Exception as e:
|
||||
logger.warning(f"读取日志历史失败: {e.__str__()}")
|
||||
return []
|
||||
|
||||
async def __handle_msg(self, websocket, path):
|
||||
address = websocket.remote_address
|
||||
# self.logger.log(f"和 {address} 建立了 websocket 连接", tag="可视化面板")
|
||||
self.ws_clients[address] = websocket
|
||||
data = ''.join(self.logger.history).replace('\n', '\r\n')
|
||||
data = await self.get_log_history()
|
||||
data = ''.join(data).replace('\n', '\r\n')
|
||||
await websocket.send(data)
|
||||
while True:
|
||||
try:
|
||||
msg = await websocket.recv()
|
||||
except websockets.exceptions.ConnectionClosedError:
|
||||
# self.logger.log(f"和 {address} 的 websocket 连接已断开", tag="可视化面板")
|
||||
# logger.info(f"和 {address} 的 websocket 连接已断开")
|
||||
del self.ws_clients[address]
|
||||
break
|
||||
except Exception as e:
|
||||
# self.logger.log(f"和 {path} 的 websocket 连接发生了错误: {e.__str__()}", tag="可视化面板")
|
||||
# logger.info(f"和 {path} 的 websocket 连接发生了错误: {e.__str__()}")
|
||||
del self.ws_clients[address]
|
||||
break
|
||||
|
||||
@@ -441,11 +464,12 @@ class AstrBotDashBoard():
|
||||
|
||||
def run(self):
|
||||
threading.Thread(target=self.run_ws_server, args=(self.loop,)).start()
|
||||
self.logger.log("已启动 websocket 服务器", tag="可视化面板")
|
||||
logger.info("已启动 websocket 服务器")
|
||||
ip_address = gu.get_local_ip_addresses()
|
||||
ip_str = f"http://{ip_address}:6185\n\thttp://localhost:6185"
|
||||
self.logger.log(
|
||||
f"\n==================\n您可访问:\n\n\t{ip_str}\n\n来登录可视化面板,默认账号密码为空。\n注意: 所有配置项现已全量迁移至 cmd_config.json 文件下,可登录可视化面板在线修改配置。\n==================\n", tag="可视化面板")
|
||||
logger.info(
|
||||
f"\n==================\n您可访问:\n\n\t{ip_str}\n\n来登录可视化面板,默认账号密码为空。\n注意: 所有配置项现已全量迁移至 cmd_config.json 文件下,可登录可视化面板在线修改配置。\n==================\n")
|
||||
|
||||
http_server = make_server(
|
||||
'0.0.0.0', 6185, self.dashboard_be, threaded=True)
|
||||
http_server.serve_forever()
|
||||
|
||||
@@ -2,32 +2,35 @@ import re
|
||||
import threading
|
||||
import asyncio
|
||||
import time
|
||||
import aiohttp
|
||||
import util.unfit_words as uw
|
||||
import os
|
||||
import sys
|
||||
import io
|
||||
import traceback
|
||||
|
||||
import util.function_calling.gplugin as gplugin
|
||||
import util.agent.web_searcher as web_searcher
|
||||
import util.plugin_util as putil
|
||||
|
||||
from PIL import Image as PILImage
|
||||
from nakuru.entities.components import Plain, At, Image
|
||||
|
||||
from addons.baidu_aip_judge import BaiduJudge
|
||||
from model.provider.provider import Provider
|
||||
from model.command.command import Command
|
||||
from util import general_utils as gu
|
||||
from util.general_utils import Logger, upload, run_monitor
|
||||
from util.general_utils import upload, run_monitor
|
||||
from util.cmd_config import CmdConfig as cc
|
||||
from util.cmd_config import init_astrbot_config_items
|
||||
from .types import *
|
||||
from type.types import GlobalObject
|
||||
from type.register import *
|
||||
from type.message import AstrBotMessage
|
||||
from type.config import *
|
||||
from addons.dashboard.helper import DashBoardHelper
|
||||
from addons.dashboard.server import DashBoardData
|
||||
from cores.database.conn import dbConn
|
||||
from persist.session import dbConn
|
||||
from model.platform._message_result import MessageResult
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
# 用户发言频率
|
||||
user_frequency = {}
|
||||
@@ -36,9 +39,6 @@ frequency_time = 60
|
||||
# 计数默认值
|
||||
frequency_count = 10
|
||||
|
||||
# 版本
|
||||
version = '3.1.12'
|
||||
|
||||
# 语言模型
|
||||
OPENAI_OFFICIAL = 'openai_official'
|
||||
NONE_LLM = 'none_llm'
|
||||
@@ -54,13 +54,8 @@ baidu_judge = None
|
||||
# CLI
|
||||
PLATFORM_CLI = 'cli'
|
||||
|
||||
init_astrbot_config_items()
|
||||
|
||||
# 全局对象
|
||||
_global_object: GlobalObject = None
|
||||
logger: Logger = Logger()
|
||||
|
||||
# 语言模型选择
|
||||
|
||||
|
||||
def privider_chooser(cfg):
|
||||
@@ -69,22 +64,16 @@ def privider_chooser(cfg):
|
||||
l.append('openai_official')
|
||||
return l
|
||||
|
||||
|
||||
'''
|
||||
初始化机器人
|
||||
'''
|
||||
|
||||
|
||||
def init(cfg):
|
||||
def init():
|
||||
'''
|
||||
初始化机器人
|
||||
'''
|
||||
global llm_instance, llm_command_instance
|
||||
global baidu_judge, chosen_provider
|
||||
global frequency_count, frequency_time
|
||||
global _global_object
|
||||
global logger
|
||||
|
||||
# 迁移旧配置
|
||||
gu.try_migrate_config(cfg)
|
||||
# 使用新配置
|
||||
init_astrbot_config_items()
|
||||
cfg = cc.get_all()
|
||||
|
||||
_event_loop = asyncio.new_event_loop()
|
||||
@@ -92,10 +81,10 @@ def init(cfg):
|
||||
|
||||
# 初始化 global_object
|
||||
_global_object = GlobalObject()
|
||||
_global_object.version = version
|
||||
_global_object.version = VERSION
|
||||
_global_object.base_config = cfg
|
||||
_global_object.logger = logger
|
||||
logger.log("AstrBot v"+version, gu.LEVEL_INFO)
|
||||
logger.info("AstrBot v" + VERSION)
|
||||
|
||||
if 'reply_prefix' in cfg:
|
||||
# 适配旧版配置
|
||||
@@ -105,12 +94,21 @@ def init(cfg):
|
||||
cc.put("reply_prefix", "")
|
||||
else:
|
||||
_global_object.reply_prefix = cfg['reply_prefix']
|
||||
|
||||
default_personality_str = cc.get("default_personality_str", "")
|
||||
if default_personality_str == "":
|
||||
_global_object.default_personality = None
|
||||
else:
|
||||
_global_object.default_personality = {
|
||||
"name": "default",
|
||||
"prompt": default_personality_str,
|
||||
}
|
||||
|
||||
# 语言模型提供商
|
||||
logger.log("正在载入语言模型...", gu.LEVEL_INFO)
|
||||
logger.info("正在载入语言模型...")
|
||||
prov = privider_chooser(cfg)
|
||||
if OPENAI_OFFICIAL in prov:
|
||||
logger.log("初始化:OpenAI官方", gu.LEVEL_INFO)
|
||||
logger.info("初始化:OpenAI官方")
|
||||
if cfg['openai']['key'] is not None and cfg['openai']['key'] != [None]:
|
||||
from model.provider.openai_official import ProviderOpenAIOfficial
|
||||
from model.command.openai_official import CommandOpenAIOfficial
|
||||
@@ -122,6 +120,11 @@ def init(cfg):
|
||||
llm_name=OPENAI_OFFICIAL, llm_instance=llm_instance[OPENAI_OFFICIAL], origin="internal"))
|
||||
chosen_provider = OPENAI_OFFICIAL
|
||||
|
||||
instance = llm_instance[OPENAI_OFFICIAL]
|
||||
assert isinstance(instance, ProviderOpenAIOfficial)
|
||||
instance.DEFAULT_PERSONALITY = _global_object.default_personality
|
||||
instance.curr_personality = instance.DEFAULT_PERSONALITY
|
||||
|
||||
# 检查provider设置偏好
|
||||
p = cc.get("chosen_provider", None)
|
||||
if p is not None and p in llm_instance:
|
||||
@@ -131,9 +134,9 @@ def init(cfg):
|
||||
if 'baidu_aip' in cfg and 'enable' in cfg['baidu_aip'] and cfg['baidu_aip']['enable']:
|
||||
try:
|
||||
baidu_judge = BaiduJudge(cfg['baidu_aip'])
|
||||
logger.log("百度内容审核初始化成功", gu.LEVEL_INFO)
|
||||
logger.info("百度内容审核初始化成功")
|
||||
except BaseException as e:
|
||||
logger.log("百度内容审核初始化失败", gu.LEVEL_ERROR)
|
||||
logger.info("百度内容审核初始化失败")
|
||||
|
||||
threading.Thread(target=upload, args=(
|
||||
_global_object, ), daemon=True).start()
|
||||
@@ -151,7 +154,7 @@ def init(cfg):
|
||||
else:
|
||||
_global_object.unique_session = False
|
||||
except BaseException as e:
|
||||
logger.log("独立会话配置错误: "+str(e), gu.LEVEL_ERROR)
|
||||
logger.info("独立会话配置错误: "+str(e))
|
||||
|
||||
nick_qq = cc.get("nick_qq", None)
|
||||
if nick_qq == None:
|
||||
@@ -166,45 +169,37 @@ def init(cfg):
|
||||
global llm_wake_prefix
|
||||
llm_wake_prefix = cc.get("llm_wake_prefix", "")
|
||||
|
||||
logger.log("正在载入插件...", gu.LEVEL_INFO)
|
||||
logger.info("正在载入插件...")
|
||||
# 加载插件
|
||||
_command = Command(None, _global_object)
|
||||
ok, err = putil.plugin_reload(_global_object.cached_plugins)
|
||||
ok, err = putil.plugin_reload(_global_object)
|
||||
if ok:
|
||||
logger.log(
|
||||
f"成功载入 {len(_global_object.cached_plugins)} 个插件", gu.LEVEL_INFO)
|
||||
logger.info(
|
||||
f"成功载入 {len(_global_object.cached_plugins)} 个插件")
|
||||
else:
|
||||
logger.log(err, gu.LEVEL_ERROR)
|
||||
logger.info(err)
|
||||
|
||||
if chosen_provider is None:
|
||||
llm_command_instance[NONE_LLM] = _command
|
||||
chosen_provider = NONE_LLM
|
||||
|
||||
logger.log("正在载入机器人消息平台", gu.LEVEL_INFO)
|
||||
# logger.log("提示:需要添加管理员 ID 才能使用 update/plugin 等指令),可在可视化面板添加。(如已添加可忽略)", gu.LEVEL_WARNING)
|
||||
logger.info("正在载入机器人消息平台")
|
||||
# logger.info("提示:需要添加管理员 ID 才能使用 update/plugin 等指令),可在可视化面板添加。(如已添加可忽略)")
|
||||
platform_str = ""
|
||||
# GOCQ
|
||||
if 'gocqbot' in cfg and cfg['gocqbot']['enable']:
|
||||
logger.log("启用 QQ_GOCQ 机器人消息平台", gu.LEVEL_INFO)
|
||||
logger.info("启用 QQ_GOCQ 机器人消息平台")
|
||||
threading.Thread(target=run_gocq_bot, args=(
|
||||
cfg, _global_object), daemon=True).start()
|
||||
platform_str += "QQ_GOCQ,"
|
||||
|
||||
# QQ频道
|
||||
if 'qqbot' in cfg and cfg['qqbot']['enable'] and cfg['qqbot']['appid'] != None:
|
||||
logger.log("启用 QQ_OFFICIAL 机器人消息平台", gu.LEVEL_INFO)
|
||||
logger.info("启用 QQ_OFFICIAL 机器人消息平台")
|
||||
threading.Thread(target=run_qqchan_bot, args=(
|
||||
cfg, _global_object), daemon=True).start()
|
||||
platform_str += "QQ_OFFICIAL,"
|
||||
|
||||
default_personality_str = cc.get("default_personality_str", "")
|
||||
if default_personality_str == "":
|
||||
_global_object.default_personality = None
|
||||
else:
|
||||
_global_object.default_personality = {
|
||||
"name": "default",
|
||||
"prompt": default_personality_str,
|
||||
}
|
||||
# 初始化dashboard
|
||||
_global_object.dashboard_data = DashBoardData(
|
||||
stats={},
|
||||
@@ -221,12 +216,12 @@ def init(cfg):
|
||||
threading.Thread(target=run_monitor, args=(
|
||||
_global_object,), daemon=True).start()
|
||||
|
||||
logger.log(
|
||||
"如果有任何问题, 请在 https://github.com/Soulter/AstrBot 上提交 issue 或加群 322154837。", gu.LEVEL_INFO)
|
||||
logger.log("请给 https://github.com/Soulter/AstrBot 点个 star。", gu.LEVEL_INFO)
|
||||
logger.info(
|
||||
"如果有任何问题, 请在 https://github.com/Soulter/AstrBot 上提交 issue 或加群 322154837。")
|
||||
logger.info("请给 https://github.com/Soulter/AstrBot 点个 star。")
|
||||
if platform_str == '':
|
||||
platform_str = "(未启动任何平台,请前往面板添加)"
|
||||
logger.log(f"🎉 项目启动完成")
|
||||
logger.info(f"🎉 项目启动完成")
|
||||
|
||||
dashboard_thread.join()
|
||||
|
||||
@@ -245,10 +240,8 @@ def run_qqchan_bot(cfg: dict, global_object: GlobalObject):
|
||||
platform_name="qqchan", platform_instance=qqchannel_bot, origin="internal"))
|
||||
qqchannel_bot.run()
|
||||
except BaseException as e:
|
||||
logger.log("启动QQ频道机器人时出现错误, 原因如下: " + str(e),
|
||||
gu.LEVEL_CRITICAL, tag="QQ频道")
|
||||
logger.log(r"如果您是初次启动,请前往可视化面板填写配置。详情请看:https://astrbot.soulter.top/center/。" +
|
||||
str(e), gu.LEVEL_CRITICAL)
|
||||
logger.error("启动 QQ 频道机器人时出现错误, 原因如下: " + str(e))
|
||||
logger.error(r"如果您是初次启动,请前往可视化面板填写配置。详情请看:https://astrbot.soulter.top/center/。")
|
||||
|
||||
|
||||
'''
|
||||
@@ -263,17 +256,17 @@ def run_gocq_bot(cfg: dict, _global_object: GlobalObject):
|
||||
host = cc.get("gocq_host", "127.0.0.1")
|
||||
port = cc.get("gocq_websocket_port", 6700)
|
||||
http_port = cc.get("gocq_http_port", 5700)
|
||||
logger.log(
|
||||
f"正在检查连接...host: {host}, ws port: {port}, http port: {http_port}", tag="QQ")
|
||||
logger.info(
|
||||
f"正在检查连接...host: {host}, ws port: {port}, http port: {http_port}")
|
||||
while True:
|
||||
if not gu.port_checker(port=port, host=host) or not gu.port_checker(port=http_port, host=host):
|
||||
if not noticed:
|
||||
noticed = True
|
||||
logger.log(
|
||||
f"连接到{host}:{port}(或{http_port})失败。程序会每隔 5s 自动重试。", gu.LEVEL_CRITICAL, tag="QQ")
|
||||
logger.warning(
|
||||
f"连接到{host}:{port}(或{http_port})失败。程序会每隔 5s 自动重试。")
|
||||
time.sleep(5)
|
||||
else:
|
||||
logger.log("检查完毕,未发现问题。", tag="QQ")
|
||||
logger.info("已连接到 gocq。")
|
||||
break
|
||||
try:
|
||||
qq_gocq = QQGOCQ(cfg=cfg, message_handler=oper_msg,
|
||||
@@ -316,7 +309,6 @@ async def record_message(platform: str, session_id: str):
|
||||
db_inst.increment_stat_session(platform, session_id, 1)
|
||||
db_inst.increment_stat_message(curr_ts, 1)
|
||||
db_inst.increment_stat_platform(curr_ts, platform, 1)
|
||||
_global_object.cnt_total += 1
|
||||
|
||||
|
||||
async def oper_msg(message: AstrBotMessage,
|
||||
@@ -345,7 +337,6 @@ async def oper_msg(message: AstrBotMessage,
|
||||
reg_platform = p
|
||||
break
|
||||
if not reg_platform:
|
||||
_global_object.logger.log(f"未找到平台 {platform} 的实例。", gu.LEVEL_ERROR)
|
||||
raise Exception(f"未找到平台 {platform} 的实例。")
|
||||
|
||||
# 统计数据,如频道消息量
|
||||
@@ -381,8 +372,13 @@ async def oper_msg(message: AstrBotMessage,
|
||||
llm_result_str = ""
|
||||
|
||||
# check commands and plugins
|
||||
message_str_no_wake_prefix = message_str
|
||||
for wake_prefix in _global_object.nick: # nick: tuple
|
||||
if message_str.startswith(wake_prefix):
|
||||
message_str_no_wake_prefix = message_str.removeprefix(wake_prefix)
|
||||
break
|
||||
hit, command_result = await llm_command_instance[chosen_provider].check_command(
|
||||
message_str,
|
||||
message_str_no_wake_prefix,
|
||||
session_id,
|
||||
role,
|
||||
reg_platform,
|
||||
@@ -401,7 +397,7 @@ async def oper_msg(message: AstrBotMessage,
|
||||
if not check:
|
||||
return MessageResult(f"你的提问得到的回复未通过【百度AI内容审核】服务, 不予回复。\n\n{msg}")
|
||||
if chosen_provider == NONE_LLM:
|
||||
logger.log("一条消息由于 Bot 未启动任何语言模型并且未触发指令而将被忽略。", gu.LEVEL_WARNING)
|
||||
logger.info("一条消息由于 Bot 未启动任何语言模型并且未触发指令而将被忽略。")
|
||||
return
|
||||
try:
|
||||
if llm_wake_prefix != "" and not message_str.startswith(llm_wake_prefix):
|
||||
@@ -426,14 +422,14 @@ async def oper_msg(message: AstrBotMessage,
|
||||
if chosen_provider == OPENAI_OFFICIAL:
|
||||
if _global_object.web_search or web_sch_flag:
|
||||
official_fc = chosen_provider == OPENAI_OFFICIAL
|
||||
llm_result_str = await gplugin.web_search(message_str, llm_instance[chosen_provider], session_id, official_fc)
|
||||
llm_result_str = await web_searcher.web_search(message_str, llm_instance[chosen_provider], session_id, official_fc)
|
||||
else:
|
||||
llm_result_str = await llm_instance[chosen_provider].text_chat(message_str, session_id, image_url, default_personality=_global_object.default_personality)
|
||||
llm_result_str = await llm_instance[chosen_provider].text_chat(message_str, session_id, image_url)
|
||||
|
||||
llm_result_str = _global_object.reply_prefix + llm_result_str
|
||||
except BaseException as e:
|
||||
logger.log(f"调用异常:{traceback.format_exc()}", gu.LEVEL_ERROR)
|
||||
return MessageResult(f"调用语言模型例程时出现异常。原因: {str(e)}")
|
||||
logger.error(f"调用异常:{traceback.format_exc()}")
|
||||
return MessageResult(f"调用异常。详细原因:{str(e)}")
|
||||
|
||||
# 切换回原来的语言模型
|
||||
if temp_switch != "":
|
||||
@@ -446,24 +442,14 @@ async def oper_msg(message: AstrBotMessage,
|
||||
return
|
||||
command = command_result[2]
|
||||
|
||||
if command == "update latest r":
|
||||
def update_restart():
|
||||
py = sys.executable
|
||||
os.execl(py, py, *sys.argv)
|
||||
return MessageResult(command_result[1] + "\n\n即将自动重启。", callback=update_restart)
|
||||
|
||||
if not command_result[0]:
|
||||
return MessageResult(f"指令调用错误: \n{str(command_result[1])}")
|
||||
|
||||
# 画图指令
|
||||
if isinstance(command_result[1], list) and len(command_result) == 3 and command == 'draw':
|
||||
for i in command_result[1]:
|
||||
# 保存到本地
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(i) as resp:
|
||||
if resp.status == 200:
|
||||
image = PILImage.open(io.BytesIO(await resp.read()))
|
||||
return MessageResult([Image.fromFileSystem(gu.save_temp_img(image))])
|
||||
if command == 'draw':
|
||||
# 保存到本地
|
||||
path = await gu.download_image_by_url(command_result[1])
|
||||
return MessageResult([Image.fromFileSystem(path)])
|
||||
# 其他指令
|
||||
else:
|
||||
try:
|
||||
@@ -485,4 +471,4 @@ async def oper_msg(message: AstrBotMessage,
|
||||
try:
|
||||
return MessageResult(llm_result_str)
|
||||
except BaseException as e:
|
||||
logger.log("回复消息错误: \n"+str(e), gu.LEVEL_ERROR)
|
||||
logger.info("回复消息错误: \n"+str(e))
|
||||
@@ -1,181 +0,0 @@
|
||||
from model.provider.provider import Provider as LLMProvider
|
||||
from model.platform._platfrom import Platform
|
||||
from nakuru import (
|
||||
GroupMessage,
|
||||
FriendMessage,
|
||||
GuildMessage,
|
||||
)
|
||||
from nakuru.entities.components import BaseMessageComponent
|
||||
from typing import Union, List, ClassVar
|
||||
from types import ModuleType
|
||||
from enum import Enum
|
||||
from dataclasses import dataclass
|
||||
|
||||
|
||||
class MessageType(Enum):
|
||||
GROUP_MESSAGE = 'GroupMessage' # 群组形式的消息
|
||||
FRIEND_MESSAGE = 'FriendMessage' # 私聊、好友等单聊消息
|
||||
GUILD_MESSAGE = 'GuildMessage' # 频道消息
|
||||
|
||||
|
||||
@dataclass
|
||||
class MessageMember():
|
||||
user_id: str # 发送者id
|
||||
nickname: str = None
|
||||
|
||||
|
||||
class AstrBotMessage():
|
||||
'''
|
||||
AstrBot 的消息对象
|
||||
'''
|
||||
tag: str # 消息来源标签
|
||||
type: MessageType # 消息类型
|
||||
self_id: str # 机器人的识别id
|
||||
session_id: str # 会话id
|
||||
message_id: str # 消息id
|
||||
sender: MessageMember # 发送者
|
||||
message: List[BaseMessageComponent] # 消息链使用 Nakuru 的消息链格式
|
||||
message_str: str # 最直观的纯文本消息字符串
|
||||
raw_message: object
|
||||
timestamp: int # 消息时间戳
|
||||
|
||||
def __str__(self) -> str:
|
||||
return str(self.__dict__)
|
||||
|
||||
|
||||
class PluginType(Enum):
|
||||
PLATFORM = 'platfrom' # 平台类插件。
|
||||
LLM = 'llm' # 大语言模型类插件
|
||||
COMMON = 'common' # 其他插件
|
||||
|
||||
|
||||
@dataclass
|
||||
class PluginMetadata:
|
||||
'''
|
||||
插件的元数据。
|
||||
'''
|
||||
# required
|
||||
plugin_name: str
|
||||
plugin_type: PluginType
|
||||
author: str # 插件作者
|
||||
desc: str # 插件简介
|
||||
version: str # 插件版本
|
||||
|
||||
# optional
|
||||
repo: str = None # 插件仓库地址
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"PluginMetadata({self.plugin_name}, {self.plugin_type}, {self.desc}, {self.version}, {self.repo})"
|
||||
|
||||
|
||||
@dataclass
|
||||
class RegisteredPlugin:
|
||||
'''
|
||||
注册在 AstrBot 中的插件。
|
||||
'''
|
||||
metadata: PluginMetadata
|
||||
plugin_instance: object
|
||||
module_path: str
|
||||
module: ModuleType
|
||||
root_dir_name: str
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"RegisteredPlugin({self.metadata}, {self.module_path}, {self.root_dir_name})"
|
||||
|
||||
|
||||
RegisteredPlugins = List[RegisteredPlugin]
|
||||
|
||||
|
||||
@dataclass
|
||||
class RegisteredPlatform:
|
||||
'''
|
||||
注册在 AstrBot 中的平台。平台应当实现 Platform 接口。
|
||||
'''
|
||||
platform_name: str
|
||||
platform_instance: Platform
|
||||
origin: str = None # 注册来源
|
||||
|
||||
|
||||
@dataclass
|
||||
class RegisteredLLM:
|
||||
'''
|
||||
注册在 AstrBot 中的大语言模型调用。大语言模型应当实现 LLMProvider 接口。
|
||||
'''
|
||||
llm_name: str
|
||||
llm_instance: LLMProvider
|
||||
origin: str = None # 注册来源
|
||||
|
||||
|
||||
class GlobalObject:
|
||||
'''
|
||||
存放一些公用的数据,用于在不同模块(如core与command)之间传递
|
||||
'''
|
||||
version: str # 机器人版本
|
||||
nick: str # 用户定义的机器人的别名
|
||||
base_config: dict # config.json 中导出的配置
|
||||
cached_plugins: List[RegisteredPlugin] # 加载的插件
|
||||
platforms: List[RegisteredPlatform]
|
||||
llms: List[RegisteredLLM]
|
||||
|
||||
web_search: bool # 是否开启了网页搜索
|
||||
reply_prefix: str # 回复前缀
|
||||
unique_session: bool # 是否开启了独立会话
|
||||
cnt_total: int # 总消息数
|
||||
default_personality: dict
|
||||
dashboard_data = None
|
||||
logger: None
|
||||
|
||||
def __init__(self):
|
||||
self.nick = None # gocq 的昵称
|
||||
self.base_config = None # config.yaml
|
||||
self.cached_plugins = [] # 缓存的插件
|
||||
self.web_search = False # 是否开启了网页搜索
|
||||
self.reply_prefix = None
|
||||
self.unique_session = False
|
||||
self.cnt_total = 0
|
||||
self.platforms = []
|
||||
self.llms = []
|
||||
self.default_personality = None
|
||||
self.dashboard_data = None
|
||||
self.stat = {}
|
||||
|
||||
|
||||
class AstrMessageEvent():
|
||||
'''
|
||||
消息事件。
|
||||
'''
|
||||
context: GlobalObject # 一些公用数据
|
||||
message_str: str # 纯消息字符串
|
||||
message_obj: AstrBotMessage # 消息对象
|
||||
platform: RegisteredPlatform # 来源平台
|
||||
role: str # 基本身份。`admin` 或 `member`
|
||||
session_id: int # 会话 id
|
||||
|
||||
def __init__(self,
|
||||
message_str: str,
|
||||
message_obj: AstrBotMessage,
|
||||
platform: RegisteredPlatform,
|
||||
role: str,
|
||||
context: GlobalObject,
|
||||
session_id: str = None):
|
||||
self.context = context
|
||||
self.message_str = message_str
|
||||
self.message_obj = message_obj
|
||||
self.platform = platform
|
||||
self.role = role
|
||||
self.session_id = session_id
|
||||
|
||||
|
||||
class CommandResult():
|
||||
'''
|
||||
用于在Command中返回多个值
|
||||
'''
|
||||
|
||||
def __init__(self, hit: bool, success: bool, message_chain: list, command_name: str = "unknown_command") -> None:
|
||||
self.hit = hit
|
||||
self.success = success
|
||||
self.message_chain = message_chain
|
||||
self.command_name = command_name
|
||||
|
||||
def _result_tuple(self):
|
||||
return (self.success, self.message_chain, self.command_name)
|
||||
@@ -1,106 +1,109 @@
|
||||
|
||||
import os
|
||||
import sys
|
||||
from pip._internal import main as pipmain
|
||||
import warnings
|
||||
import traceback
|
||||
import threading
|
||||
from logging import Formatter, Logger
|
||||
from util.cmd_config import CmdConfig, try_migrate_config
|
||||
|
||||
warnings.filterwarnings("ignore")
|
||||
abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
|
||||
|
||||
logger: Logger = None
|
||||
logo_tmpl = """
|
||||
___ _______.___________..______ .______ ______ .___________.
|
||||
/ \ / | || _ \ | _ \ / __ \ | |
|
||||
/ ^ \ | (----`---| |----`| |_) | | |_) | | | | | `---| |----`
|
||||
/ /_\ \ \ \ | | | / | _ < | | | | | |
|
||||
/ _____ \ .----) | | | | |\ \----.| |_) | | `--' | | |
|
||||
/__/ \__\ |_______/ |__| | _| `._____||______/ \______/ |__|
|
||||
|
||||
"""
|
||||
|
||||
def make_necessary_dirs():
|
||||
'''
|
||||
创建必要的目录。
|
||||
'''
|
||||
os.makedirs("data/config", exist_ok=True)
|
||||
os.makedirs("temp", exist_ok=True)
|
||||
|
||||
def update_dept():
|
||||
'''
|
||||
更新依赖库。
|
||||
'''
|
||||
# 获取 Python 可执行文件路径
|
||||
py = sys.executable
|
||||
requirements_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "requirements.txt")
|
||||
print(requirements_path)
|
||||
# 更新依赖库
|
||||
mirror = "https://mirrors.aliyun.com/pypi/simple/"
|
||||
os.system(f"{py} -m pip install -r {requirements_path} -i {mirror}")
|
||||
|
||||
def main():
|
||||
# config.yaml 配置文件加载和环境确认
|
||||
try:
|
||||
import cores.astrbot.core as qqBot
|
||||
import yaml
|
||||
ymlfile = open(abs_path+"configs/config.yaml", 'r', encoding='utf-8')
|
||||
cfg = yaml.safe_load(ymlfile)
|
||||
import botpy, logging
|
||||
import astrbot.core as bot_core
|
||||
# delete qqbotpy's logger
|
||||
for handler in logging.root.handlers[:]:
|
||||
logging.root.removeHandler(handler)
|
||||
except ImportError as import_error:
|
||||
traceback.print_exc()
|
||||
print(import_error)
|
||||
input("第三方库未完全安装完毕,请退出程序重试。")
|
||||
logger.error(import_error)
|
||||
logger.error("检测到一些依赖库没有安装。由于兼容性问题,AstrBot 此版本将不会自动为您安装依赖库。请您先自行安装,然后重试。")
|
||||
logger.info("如何安装?如果:")
|
||||
logger.info("- Windows 启动器部署且使用启动器下载了 Python的:在 launcher.exe 所在目录下的地址框输入 powershell,然后执行 .\python\python.exe -m pip install .\AstrBot\requirements.txt")
|
||||
logger.info("- Windows 启动器部署且使用自己之前下载的 Python的:在 launcher.exe 所在目录下的地址框输入 powershell,然后执行 python -m pip install .\AstrBot\requirements.txt")
|
||||
logger.info("- 自行 clone 源码部署的:python -m pip install -r requirements.txt")
|
||||
logger.info("- 如果还不会,加群 322154837 ")
|
||||
input("按任意键退出。")
|
||||
exit()
|
||||
except FileNotFoundError as file_not_found:
|
||||
print(file_not_found)
|
||||
logger.error(file_not_found)
|
||||
input("配置文件不存在,请检查是否已经下载配置文件。")
|
||||
exit()
|
||||
except BaseException as e:
|
||||
raise e
|
||||
|
||||
# 设置代理
|
||||
if 'http_proxy' in cfg and cfg['http_proxy'] != '':
|
||||
os.environ['HTTP_PROXY'] = cfg['http_proxy']
|
||||
if 'https_proxy' in cfg and cfg['https_proxy'] != '':
|
||||
os.environ['HTTPS_PROXY'] = cfg['https_proxy']
|
||||
|
||||
os.environ['NO_PROXY'] = 'https://api.sgroup.qq.com'
|
||||
|
||||
# 检查并创建 temp 文件夹
|
||||
if not os.path.exists(abs_path + "temp"):
|
||||
os.mkdir(abs_path+"temp")
|
||||
if not os.path.exists(abs_path + "data"):
|
||||
os.mkdir(abs_path+"data")
|
||||
if not os.path.exists(abs_path + "data/config"):
|
||||
os.mkdir(abs_path+"data/config")
|
||||
|
||||
# 启动主程序(cores/qqbot/core.py)
|
||||
qqBot.init(cfg)
|
||||
|
||||
|
||||
def check_env(ch_mirror=False):
|
||||
if not (sys.version_info.major == 3 and sys.version_info.minor >= 9):
|
||||
print("请使用Python3.9+运行本项目")
|
||||
input("按任意键退出...")
|
||||
logger.error(traceback.format_exc())
|
||||
input("未知错误。")
|
||||
exit()
|
||||
|
||||
if os.path.exists('requirements.txt'):
|
||||
pth = 'requirements.txt'
|
||||
else:
|
||||
pth = 'QQChannelChatGPT' + os.sep + 'requirements.txt'
|
||||
print("正在检查或下载第三方库,请耐心等待...")
|
||||
try:
|
||||
if ch_mirror:
|
||||
print("使用阿里云镜像")
|
||||
pipmain(['install', '-r', pth, '-i',
|
||||
'https://mirrors.aliyun.com/pypi/simple/'])
|
||||
else:
|
||||
pipmain(['install', '-r', pth])
|
||||
except BaseException as e:
|
||||
print(e)
|
||||
while True:
|
||||
res = input(
|
||||
"安装失败。\n如报错ValueError: check_hostname requires server_hostname,请尝试先关闭代理后重试。\n1.输入y回车重试\n2. 输入c回车使用国内镜像源下载\n3. 输入其他按键回车继续往下执行。")
|
||||
if res == "y":
|
||||
try:
|
||||
pipmain(['install', '-r', pth])
|
||||
break
|
||||
except BaseException as e:
|
||||
print(e)
|
||||
continue
|
||||
elif res == "c":
|
||||
try:
|
||||
pipmain(['install', '-r', pth, '-i',
|
||||
'https://mirrors.aliyun.com/pypi/simple/'])
|
||||
break
|
||||
except BaseException as e:
|
||||
print(e)
|
||||
continue
|
||||
else:
|
||||
break
|
||||
print("第三方库检查完毕。")
|
||||
make_necessary_dirs()
|
||||
|
||||
# 启动主程序(cores/qqbot/core.py)
|
||||
bot_core.init()
|
||||
|
||||
|
||||
def check_env():
|
||||
if not (sys.version_info.major == 3 and sys.version_info.minor >= 9):
|
||||
logger.error("请使用 Python3.9+ 运行本项目。按任意键退出。")
|
||||
input("")
|
||||
exit()
|
||||
|
||||
if __name__ == "__main__":
|
||||
args = sys.argv
|
||||
|
||||
if '-cn' in args:
|
||||
check_env(True)
|
||||
else:
|
||||
check_env()
|
||||
|
||||
update_dept()
|
||||
|
||||
try_migrate_config()
|
||||
cc = CmdConfig()
|
||||
http_proxy = cc.get("http_proxy")
|
||||
https_proxy = cc.get("https_proxy")
|
||||
if http_proxy:
|
||||
os.environ['HTTP_PROXY'] = http_proxy
|
||||
if https_proxy:
|
||||
os.environ['HTTPS_PROXY'] = https_proxy
|
||||
os.environ['NO_PROXY'] = 'https://api.sgroup.qq.com'
|
||||
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
logger = LogManager.GetLogger(
|
||||
log_name='astrbot-core',
|
||||
out_to_console=True,
|
||||
custom_formatter=Formatter('[%(asctime)s| %(name)s - %(levelname)s|%(filename)s:%(lineno)d]: %(message)s', datefmt="%H:%M:%S")
|
||||
)
|
||||
logger.info(logo_tmpl)
|
||||
logger.info(f"使用代理: {http_proxy}, {https_proxy}")
|
||||
|
||||
check_env()
|
||||
t = threading.Thread(target=main, daemon=True)
|
||||
t.start()
|
||||
try:
|
||||
t.join()
|
||||
except KeyboardInterrupt as e:
|
||||
print("退出 AstrBot。")
|
||||
logger.info("退出 AstrBot。")
|
||||
exit()
|
||||
|
||||
+24
-23
@@ -13,17 +13,17 @@ from nakuru.entities.components import (
|
||||
from util import general_utils as gu
|
||||
from model.provider.provider import Provider
|
||||
from util.cmd_config import CmdConfig as cc
|
||||
from util.general_utils import Logger
|
||||
from cores.astrbot.types import (
|
||||
GlobalObject,
|
||||
AstrMessageEvent,
|
||||
PluginType,
|
||||
CommandResult,
|
||||
RegisteredPlugin,
|
||||
RegisteredPlatform
|
||||
)
|
||||
from type.message import *
|
||||
from type.types import GlobalObject
|
||||
from type.command import *
|
||||
from type.plugin import *
|
||||
from type.register import *
|
||||
|
||||
from typing import List, Tuple
|
||||
from typing import List
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
PLATFORM_QQCHAN = 'qqchan'
|
||||
PLATFORM_GOCQ = 'gocq'
|
||||
@@ -35,7 +35,6 @@ class Command:
|
||||
def __init__(self, provider: Provider, global_object: GlobalObject = None):
|
||||
self.provider = provider
|
||||
self.global_object = global_object
|
||||
self.logger: Logger = global_object.logger
|
||||
|
||||
async def check_command(self,
|
||||
message,
|
||||
@@ -65,6 +64,8 @@ class Command:
|
||||
result = await plugin.plugin_instance.run(ame)
|
||||
else:
|
||||
result = await asyncio.to_thread(plugin.plugin_instance.run, ame)
|
||||
if not result:
|
||||
continue
|
||||
if isinstance(result, CommandResult):
|
||||
hit = result.hit
|
||||
res = result._result_tuple()
|
||||
@@ -74,6 +75,8 @@ class Command:
|
||||
else:
|
||||
raise TypeError("插件返回值格式错误。")
|
||||
if hit:
|
||||
plugin.trig()
|
||||
logger.debug("hit plugin: " + plugin.metadata.plugin_name)
|
||||
return True, res
|
||||
except TypeError as e:
|
||||
# 参数不匹配,尝试使用旧的参数方案
|
||||
@@ -85,11 +88,11 @@ class Command:
|
||||
if hit:
|
||||
return True, res
|
||||
except BaseException as e:
|
||||
self.logger.log(
|
||||
f"{plugin.metadata.plugin_name} 插件异常,原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。", level=gu.LEVEL_WARNING)
|
||||
logger.error(
|
||||
f"{plugin.metadata.plugin_name} 插件异常,原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。")
|
||||
except BaseException as e:
|
||||
self.logger.log(
|
||||
f"{plugin.metadata.plugin_name} 插件异常,原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。", level=gu.LEVEL_WARNING)
|
||||
logger.error(
|
||||
f"{plugin.metadata.plugin_name} 插件异常,原因: {str(e)}\n如果你没有相关装插件的想法, 请直接忽略此报错, 不影响其他功能的运行。")
|
||||
|
||||
if self.command_start_with(message, "nick"):
|
||||
return True, self.set_nick(message, platform, role)
|
||||
@@ -186,7 +189,7 @@ class Command:
|
||||
break
|
||||
if info:
|
||||
p = gu.create_text_image(
|
||||
f"【插件信息】", f"名称: {info['name']}\n{info['desc']}\n版本: {info['version']}\n作者: {info['author']}\n\n帮助:\n{info['help']}")
|
||||
f"【插件信息】", f"名称: {info.plugin_name}\n类型: {info.plugin_type}\n{info.desc}\n版本: {info.version}\n作者: {info.author}")
|
||||
return True, [Image.fromFileSystem(p)], "plugin"
|
||||
else:
|
||||
return False, "未找到该插件", "plugin"
|
||||
@@ -197,10 +200,10 @@ class Command:
|
||||
nick: 存储机器人的昵称
|
||||
'''
|
||||
|
||||
def set_nick(self, message: str, platform: str, role: str = "member"):
|
||||
def set_nick(self, message: str, platform: RegisteredPlatform, role: str = "member"):
|
||||
if role != "admin":
|
||||
return True, "你无权使用该指令 :P", "nick"
|
||||
if platform == PLATFORM_GOCQ:
|
||||
if str(platform) == PLATFORM_GOCQ:
|
||||
l = message.split(" ")
|
||||
if len(l) == 1:
|
||||
return True, "【设置机器人昵称】示例:\n支持多昵称\nnick 昵称1 昵称2 昵称3", "nick"
|
||||
@@ -208,7 +211,7 @@ class Command:
|
||||
cc.put("nick_qq", nick)
|
||||
self.global_object.nick = tuple(nick)
|
||||
return True, f"设置成功!现在你可以叫我这些昵称来提问我啦~", "nick"
|
||||
elif platform == PLATFORM_QQCHAN:
|
||||
elif str(platform) == PLATFORM_QQCHAN:
|
||||
nick = message.split(" ")[2]
|
||||
return False, "QQ频道平台不支持为机器人设置昵称。", "nick"
|
||||
|
||||
@@ -217,11 +220,9 @@ class Command:
|
||||
"help": "帮助",
|
||||
"keyword": "设置关键词/关键指令回复",
|
||||
"update": "更新项目",
|
||||
"nick": "设置机器人昵称",
|
||||
"nick": "设置机器人唤醒词",
|
||||
"plugin": "插件安装、卸载和重载",
|
||||
"web on/off": "LLM 网页搜索能力",
|
||||
"reset": "重置 LLM 对话",
|
||||
"/gpt": "切换到 OpenAI 官方接口"
|
||||
}
|
||||
|
||||
async def help_messager(self, commands: dict, platform: str, cached_plugins: List[RegisteredPlugin] = None):
|
||||
@@ -248,7 +249,7 @@ class Command:
|
||||
p = gu.create_markdown_image(msg)
|
||||
return [Image.fromFileSystem(p),]
|
||||
except BaseException as e:
|
||||
self.logger.log(str(e))
|
||||
logger.error(str(e))
|
||||
return msg
|
||||
|
||||
def command_start_with(self, message: str, *args):
|
||||
|
||||
+100
-124
@@ -1,14 +1,24 @@
|
||||
from model.command.command import Command
|
||||
from model.provider.openai_official import ProviderOpenAIOfficial
|
||||
from model.provider.openai_official import ProviderOpenAIOfficial, MODELS
|
||||
from util.personality import personalities
|
||||
from cores.astrbot.types import GlobalObject
|
||||
from type.types import GlobalObject
|
||||
from type.command import CommandItem
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
from openai._exceptions import NotFoundError
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
class CommandOpenAIOfficial(Command):
|
||||
def __init__(self, provider: ProviderOpenAIOfficial, global_object: GlobalObject):
|
||||
self.provider = provider
|
||||
self.global_object = global_object
|
||||
self.personality_str = ""
|
||||
self.commands = [
|
||||
CommandItem("reset", self.reset, "重置 LLM 会话。", "内置"),
|
||||
CommandItem("his", self.his, "查看与 LLM 的历史记录。", "内置"),
|
||||
CommandItem("status", self.status, "查看 GPT 配置信息和用量状态。", "内置"),
|
||||
]
|
||||
super().__init__(provider, global_object)
|
||||
|
||||
async def check_command(self,
|
||||
@@ -28,6 +38,8 @@ class CommandOpenAIOfficial(Command):
|
||||
message_obj
|
||||
)
|
||||
|
||||
logger.debug(f"基础指令hit: {hit}, res: {res}")
|
||||
|
||||
# 这里是这个 LLM 的专属指令
|
||||
if hit:
|
||||
return True, res
|
||||
@@ -35,12 +47,8 @@ class CommandOpenAIOfficial(Command):
|
||||
return True, await self.reset(session_id, message)
|
||||
elif self.command_start_with(message, "his", "历史"):
|
||||
return True, self.his(message, session_id)
|
||||
elif self.command_start_with(message, "token"):
|
||||
return True, self.token(session_id)
|
||||
elif self.command_start_with(message, "gpt"):
|
||||
return True, self.gpt()
|
||||
elif self.command_start_with(message, "status"):
|
||||
return True, self.status()
|
||||
return True, self.status(session_id)
|
||||
elif self.command_start_with(message, "help", "帮助"):
|
||||
return True, await self.help()
|
||||
elif self.command_start_with(message, "unset"):
|
||||
@@ -51,21 +59,64 @@ class CommandOpenAIOfficial(Command):
|
||||
return True, self.update(message, role)
|
||||
elif self.command_start_with(message, "画", "draw"):
|
||||
return True, await self.draw(message)
|
||||
elif self.command_start_with(message, "key"):
|
||||
return True, self.key(message)
|
||||
elif self.command_start_with(message, "switch"):
|
||||
return True, await self.switch(message)
|
||||
|
||||
elif self.command_start_with(message, "models"):
|
||||
return True, await self.print_models()
|
||||
elif self.command_start_with(message, "model"):
|
||||
return True, await self.set_model(message)
|
||||
return False, None
|
||||
|
||||
async def get_models(self):
|
||||
try:
|
||||
models = await self.provider.client.models.list()
|
||||
except NotFoundError as e:
|
||||
bu = str(self.provider.client.base_url)
|
||||
self.provider.client.base_url = bu + "/v1"
|
||||
models = await self.provider.client.models.list()
|
||||
finally:
|
||||
return filter(lambda x: x.id.startswith("gpt"), models.data)
|
||||
|
||||
async def print_models(self):
|
||||
models = await self.get_models()
|
||||
i = 1
|
||||
ret = "OpenAI GPT 类可用模型"
|
||||
for model in models:
|
||||
ret += f"\n{i}. {model.id}"
|
||||
i += 1
|
||||
ret += "\nTips: 使用 /model 模型名/编号,即可实时更换模型。如目标模型不存在于上表,请输入模型名。"
|
||||
logger.debug(ret)
|
||||
return True, ret, "models"
|
||||
|
||||
|
||||
async def set_model(self, message: str):
|
||||
l = message.split(" ")
|
||||
if len(l) == 1:
|
||||
return True, "请输入 /model 模型名/编号", "model"
|
||||
model = str(l[1])
|
||||
if model.isdigit():
|
||||
models = await self.get_models()
|
||||
models = list(models)
|
||||
if int(model) <= len(models) and int(model) >= 1:
|
||||
model = models[int(model)-1]
|
||||
self.provider.set_model(model.id)
|
||||
return True, f"模型已设置为 {model.id}", "model"
|
||||
else:
|
||||
self.provider.set_model(model)
|
||||
return True, f"模型已设置为 {model} (自定义)", "model"
|
||||
|
||||
|
||||
async def help(self):
|
||||
commands = super().general_commands()
|
||||
commands['画'] = '画画'
|
||||
commands['key'] = '添加OpenAI key'
|
||||
commands['set'] = '人格设置面板'
|
||||
commands['gpt'] = '查看gpt配置信息'
|
||||
commands['status'] = '查看key使用状态'
|
||||
commands['token'] = '查看本轮会话token'
|
||||
commands['画'] = '调用 OpenAI DallE 模型生成图片'
|
||||
commands['/set'] = '人格设置面板'
|
||||
commands['/status'] = '查看 Api Key 状态和配置信息'
|
||||
commands['/token'] = '查看本轮会话 token'
|
||||
commands['/reset'] = '重置当前与 LLM 的会话,但保留人格(system prompt)'
|
||||
commands['/reset p'] = '重置当前与 LLM 的会话,并清除人格。'
|
||||
commands['/models'] = '获取当前可用的模型'
|
||||
commands['/model'] = '更换模型'
|
||||
|
||||
return True, await super().help_messager(commands, self.platform, self.global_object.cached_plugins), "help"
|
||||
|
||||
async def reset(self, session_id: str, message: str = "reset"):
|
||||
@@ -73,79 +124,44 @@ class CommandOpenAIOfficial(Command):
|
||||
return False, "未启用 OpenAI 官方 API", "reset"
|
||||
l = message.split(" ")
|
||||
if len(l) == 1:
|
||||
await self.provider.forget(session_id)
|
||||
await self.provider.forget(session_id, keep_system_prompt=True)
|
||||
return True, "重置成功", "reset"
|
||||
if len(l) == 2 and l[1] == "p":
|
||||
self.provider.forget(session_id)
|
||||
if self.personality_str != "":
|
||||
self.set(self.personality_str, session_id) # 重新设置人格
|
||||
return True, "重置成功", "reset"
|
||||
await self.provider.forget(session_id)
|
||||
|
||||
def his(self, message: str, session_id: str):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "his"
|
||||
# 分页,每页5条
|
||||
msg = ''
|
||||
size_per_page = 3
|
||||
page = 1
|
||||
if message[4:]:
|
||||
page = int(message[4:])
|
||||
# 检查是否有过历史记录
|
||||
if session_id not in self.provider.session_dict:
|
||||
msg = f"历史记录为空"
|
||||
return True, msg, "his"
|
||||
l = self.provider.session_dict[session_id]
|
||||
max_page = len(l)//size_per_page + \
|
||||
1 if len(l) % size_per_page != 0 else len(l)//size_per_page
|
||||
p = self.provider.get_prompts_by_cache_list(
|
||||
self.provider.session_dict[session_id], divide=True, paging=True, size=size_per_page, page=page)
|
||||
return True, f"历史记录如下:\n{p}\n第{page}页 | 共{max_page}页\n*输入/his 2跳转到第2页", "his"
|
||||
l = message.split(" ")
|
||||
if len(l) == 2:
|
||||
try:
|
||||
page = int(l[1])
|
||||
except BaseException as e:
|
||||
return True, "页码不合法", "his"
|
||||
contexts, total_num = self.provider.dump_contexts_page(session_id, size_per_page, page=page)
|
||||
t_pages = total_num // size_per_page + 1
|
||||
return True, f"历史记录如下:\n{contexts}\n第 {page} 页 | 共 {t_pages} 页\n*输入 /his 2 跳转到第 2 页", "his"
|
||||
|
||||
def token(self, session_id: str):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "token"
|
||||
return True, f"会话的token数: {self.provider.get_user_usage_tokens(self.provider.session_dict[session_id])}\n系统最大缓存token数: {self.provider.max_tokens}", "token"
|
||||
|
||||
def gpt(self):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "gpt"
|
||||
return True, f"OpenAI GPT配置:\n {self.provider.chatGPT_configs}", "gpt"
|
||||
|
||||
def status(self):
|
||||
def status(self, session_id: str):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "status"
|
||||
chatgpt_cfg_str = ""
|
||||
key_stat = self.provider.get_key_stat()
|
||||
index = 1
|
||||
max = 9000000
|
||||
gg_count = 0
|
||||
total = 0
|
||||
tag = ''
|
||||
for key in key_stat.keys():
|
||||
sponsor = ''
|
||||
total += key_stat[key]['used']
|
||||
if key_stat[key]['exceed']:
|
||||
gg_count += 1
|
||||
continue
|
||||
if 'sponsor' in key_stat[key]:
|
||||
sponsor = key_stat[key]['sponsor']
|
||||
chatgpt_cfg_str += f" |-{index}: {key[-8:]} {key_stat[key]['used']}/{max} {sponsor}{tag}\n"
|
||||
index += 1
|
||||
return True, f"⭐使用情况({str(gg_count)}个已用):\n{chatgpt_cfg_str}", "status"
|
||||
keys_data = self.provider.get_keys_data()
|
||||
ret = "OpenAI Key"
|
||||
for k in keys_data:
|
||||
status = "🟢" if keys_data[k] else "🔴"
|
||||
ret += "\n|- " + k[:8] + " " + status
|
||||
|
||||
def key(self, message: str):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "reset"
|
||||
l = message.split(" ")
|
||||
if len(l) == 1:
|
||||
msg = "感谢您赞助key,key为官方API使用,请以以下格式赞助:\n/key xxxxx"
|
||||
return True, msg, "key"
|
||||
key = l[1]
|
||||
if self.provider.check_key(key):
|
||||
self.provider.append_key(key)
|
||||
return True, f"*★,°*:.☆( ̄▽ ̄)/$:*.°★* 。\n该Key被验证为有效。感谢你的赞助~"
|
||||
else:
|
||||
return True, "该Key被验证为无效。也许是输入错误了,或者重试。", "key"
|
||||
conf = self.provider.get_configs()
|
||||
ret += "\n当前模型:" + conf['model']
|
||||
if conf['model'] in MODELS:
|
||||
ret += "\n最大上下文窗口:" + str(MODELS[conf['model']]) + " tokens"
|
||||
|
||||
if session_id in self.provider.session_memory and len(self.provider.session_memory[session_id]):
|
||||
ret += "\n你的会话上下文:" + str(self.provider.session_memory[session_id][-1]['usage_tokens']) + " tokens"
|
||||
|
||||
return True, ret, "status"
|
||||
|
||||
async def switch(self, message: str):
|
||||
'''
|
||||
@@ -162,14 +178,13 @@ class CommandOpenAIOfficial(Command):
|
||||
return True, ret, "switch"
|
||||
elif len(l) == 2:
|
||||
try:
|
||||
key_stat = self.provider.get_key_stat()
|
||||
key_stat = self.provider.get_keys_data()
|
||||
index = int(l[1])
|
||||
if index > len(key_stat) or index < 1:
|
||||
return True, "账号序号不合法。", "switch"
|
||||
else:
|
||||
try:
|
||||
new_key = list(key_stat.keys())[index-1]
|
||||
ret = await self.provider.check_key(new_key)
|
||||
self.provider.set_key(new_key)
|
||||
except BaseException as e:
|
||||
return True, "账号切换失败,原因: " + str(e), "switch"
|
||||
@@ -218,58 +233,19 @@ class CommandOpenAIOfficial(Command):
|
||||
'name': ps,
|
||||
'prompt': personalities[ps]
|
||||
}
|
||||
self.provider.session_dict[session_id] = []
|
||||
new_record = {
|
||||
"user": {
|
||||
"role": "user",
|
||||
"content": personalities[ps],
|
||||
},
|
||||
"AI": {
|
||||
"role": "assistant",
|
||||
"content": "好的,接下来我会扮演这个角色。"
|
||||
},
|
||||
'type': "personality",
|
||||
'usage_tokens': 0,
|
||||
'single-tokens': 0
|
||||
}
|
||||
self.provider.session_dict[session_id].append(new_record)
|
||||
self.personality_str = message
|
||||
self.provider.personality_set(ps, session_id)
|
||||
return True, f"人格{ps}已设置。", "set"
|
||||
else:
|
||||
self.provider.curr_personality = {
|
||||
'name': '自定义人格',
|
||||
'prompt': ps
|
||||
}
|
||||
new_record = {
|
||||
"user": {
|
||||
"role": "user",
|
||||
"content": ps,
|
||||
},
|
||||
"AI": {
|
||||
"role": "assistant",
|
||||
"content": "好的,接下来我会扮演这个角色。"
|
||||
},
|
||||
'type': "personality",
|
||||
'usage_tokens': 0,
|
||||
'single-tokens': 0
|
||||
}
|
||||
self.provider.session_dict[session_id] = []
|
||||
self.provider.session_dict[session_id].append(new_record)
|
||||
self.personality_str = message
|
||||
self.provider.personality_set(ps, session_id)
|
||||
return True, f"自定义人格已设置。 \n人格信息: {ps}", "set"
|
||||
|
||||
async def draw(self, message):
|
||||
async def draw(self, message: str):
|
||||
if self.provider is None:
|
||||
return False, "未启用 OpenAI 官方 API", "draw"
|
||||
if message.startswith("/画"):
|
||||
message = message[2:]
|
||||
elif message.startswith("画"):
|
||||
message = message[1:]
|
||||
try:
|
||||
# 画图模式传回3个参数
|
||||
img_url = await self.provider.image_chat(message)
|
||||
return True, img_url, "draw"
|
||||
except Exception as e:
|
||||
if 'exceeded' in str(e):
|
||||
return f"OpenAI API错误。原因:\n{str(e)} \n超额了。可自己搭建一个机器人(Github仓库:QQChannelChatGPT)"
|
||||
return False, f"图片生成失败: {e}", "draw"
|
||||
message = message.removeprefix("/").removeprefix("画")
|
||||
img_url = await self.provider.image_generate(message)
|
||||
return True, img_url, "draw"
|
||||
@@ -5,7 +5,7 @@ from nakuru import (
|
||||
FriendMessage
|
||||
)
|
||||
import botpy.message
|
||||
from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
|
||||
from type.message import *
|
||||
from typing import List, Union
|
||||
import time
|
||||
|
||||
|
||||
@@ -14,34 +14,40 @@ class Platform():
|
||||
初始化平台的各种接口
|
||||
'''
|
||||
self.message_handler = message_handler
|
||||
self.cnt_receive = 0
|
||||
self.cnt_reply = 0
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def handle_msg():
|
||||
async def handle_msg(self):
|
||||
'''
|
||||
处理到来的消息
|
||||
'''
|
||||
self.cnt_receive += 1
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def reply_msg():
|
||||
async def reply_msg(self):
|
||||
'''
|
||||
回复消息(被动发送)
|
||||
'''
|
||||
self.cnt_reply += 1
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def send_msg(target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
|
||||
async def send_msg(self, target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
|
||||
'''
|
||||
发送消息(主动发送)
|
||||
'''
|
||||
self.cnt_reply += 1
|
||||
pass
|
||||
|
||||
@abc.abstractmethod
|
||||
async def send(target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
|
||||
async def send(self, target: Union[GuildMessage, GroupMessage, FriendMessage, str], message: Union[str, list]):
|
||||
'''
|
||||
发送消息(主动发送)同 send_msg()
|
||||
'''
|
||||
self.cnt_reply += 1
|
||||
pass
|
||||
|
||||
def parse_message_outline(self, message: Union[GuildMessage, GroupMessage, FriendMessage, str, list]) -> str:
|
||||
|
||||
+19
-17
@@ -11,11 +11,16 @@ from nakuru import (
|
||||
Notify
|
||||
)
|
||||
from typing import Union
|
||||
from type.types import GlobalObject
|
||||
import time
|
||||
|
||||
from ._platfrom import Platform
|
||||
from ._message_parse import nakuru_message_parse_rev
|
||||
from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
|
||||
from type.message import *
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
|
||||
class FakeSource:
|
||||
@@ -25,7 +30,7 @@ class FakeSource:
|
||||
|
||||
|
||||
class QQGOCQ(Platform):
|
||||
def __init__(self, cfg: dict, message_handler: callable, global_object) -> None:
|
||||
def __init__(self, cfg: dict, message_handler: callable, global_object: GlobalObject) -> None:
|
||||
super().__init__(message_handler)
|
||||
|
||||
self.loop = asyncio.new_event_loop()
|
||||
@@ -34,15 +39,8 @@ class QQGOCQ(Platform):
|
||||
self.waiting = {}
|
||||
self.cc = CmdConfig()
|
||||
self.cfg = cfg
|
||||
self.logger: gu.Logger = global_object.logger
|
||||
|
||||
try:
|
||||
self.nick_qq = cfg['nick_qq']
|
||||
except:
|
||||
self.nick_qq = ["ai", "!", "!"]
|
||||
nick_qq = self.nick_qq
|
||||
if isinstance(nick_qq, str):
|
||||
nick_qq = [nick_qq]
|
||||
|
||||
self.context = global_object
|
||||
|
||||
self.unique_session = cfg['uniqueSessionMode']
|
||||
self.pic_mode = cfg['qq_pic_mode']
|
||||
@@ -106,8 +104,9 @@ class QQGOCQ(Platform):
|
||||
self.client.run()
|
||||
|
||||
async def handle_msg(self, message: AstrBotMessage):
|
||||
self.logger.log(
|
||||
f"{message.sender.nickname}/{message.sender.user_id} -> {self.parse_message_outline(message)}", tag="QQ_GOCQ")
|
||||
await super().handle_msg()
|
||||
logger.info(
|
||||
f"{message.sender.nickname}/{message.sender.user_id} -> {self.parse_message_outline(message)}")
|
||||
|
||||
assert isinstance(message.raw_message,
|
||||
(GroupMessage, FriendMessage, GuildMessage))
|
||||
@@ -129,8 +128,8 @@ class QQGOCQ(Platform):
|
||||
if message.type.value == "GroupMessage":
|
||||
if str(i.qq) == str(message.self_id):
|
||||
resp = True
|
||||
elif isinstance(i, Plain):
|
||||
for nick in self.nick_qq:
|
||||
elif isinstance(i, Plain) and self.context.nick:
|
||||
for nick in self.context.nick:
|
||||
if nick != '' and i.text.strip().startswith(nick):
|
||||
resp = True
|
||||
break
|
||||
@@ -178,6 +177,7 @@ class QQGOCQ(Platform):
|
||||
async def reply_msg(self,
|
||||
message: Union[AstrBotMessage, GuildMessage, GroupMessage, FriendMessage],
|
||||
result_message: list):
|
||||
await super().reply_msg()
|
||||
"""
|
||||
插件开发者请使用send方法, 可以不用直接调用这个方法。
|
||||
"""
|
||||
@@ -188,8 +188,8 @@ class QQGOCQ(Platform):
|
||||
|
||||
res = result_message
|
||||
|
||||
self.logger.log(
|
||||
f"{source.user_id} <- {self.parse_message_outline(res)}", tag="QQ_GOCQ")
|
||||
logger.info(
|
||||
f"{source.user_id} <- {self.parse_message_outline(res)}")
|
||||
|
||||
if isinstance(source, int):
|
||||
source = FakeSource("GroupMessage", source)
|
||||
@@ -256,6 +256,7 @@ class QQGOCQ(Platform):
|
||||
提供给插件的发送QQ消息接口。
|
||||
参数说明:第一个参数可以是消息对象,也可以是QQ群号。第二个参数是消息内容(消息内容可以是消息链列表,也可以是纯文字信息)。
|
||||
'''
|
||||
await super().reply_msg()
|
||||
try:
|
||||
await self.reply_msg(message, result_message)
|
||||
except BaseException as e:
|
||||
@@ -267,6 +268,7 @@ class QQGOCQ(Platform):
|
||||
'''
|
||||
同 send_msg()
|
||||
'''
|
||||
await super().reply_msg()
|
||||
await self.reply_msg(to, res)
|
||||
|
||||
def create_text_image(title: str, text: str, max_width=30, font_size=20):
|
||||
|
||||
@@ -5,6 +5,8 @@ import botpy.message
|
||||
import re
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import botpy.types
|
||||
import botpy.types.message
|
||||
from util import general_utils as gu
|
||||
|
||||
from botpy.types.message import Reference
|
||||
@@ -15,13 +17,15 @@ from ._message_parse import (
|
||||
qq_official_message_parse_rev,
|
||||
qq_official_message_parse
|
||||
)
|
||||
from cores.astrbot.types import MessageType, AstrBotMessage, MessageMember
|
||||
from type.message import *
|
||||
from typing import Union, List
|
||||
from nakuru.entities.components import BaseMessageComponent
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
# QQ 机器人官方框架
|
||||
|
||||
|
||||
class botClient(Client):
|
||||
def set_platform(self, platform: 'QQOfficial'):
|
||||
self.platform = platform
|
||||
@@ -59,7 +63,6 @@ class QQOfficial(Platform):
|
||||
self.token = cfg['qqbot']['token']
|
||||
self.secret = cfg['qqbot_secret']
|
||||
self.unique_session = cfg['uniqueSessionMode']
|
||||
self.logger: gu.Logger = global_object.logger
|
||||
qq_group = cfg['qqofficial_enable_group_message']
|
||||
|
||||
if qq_group:
|
||||
@@ -99,13 +102,14 @@ class QQOfficial(Platform):
|
||||
)
|
||||
|
||||
async def handle_msg(self, message: AstrBotMessage):
|
||||
await super().handle_msg()
|
||||
assert isinstance(message.raw_message, (botpy.message.Message,
|
||||
botpy.message.GroupMessage, botpy.message.DirectMessage))
|
||||
is_group = message.type != MessageType.FRIEND_MESSAGE
|
||||
|
||||
_t = "/私聊" if not is_group else ""
|
||||
self.logger.log(
|
||||
f"{message.sender.nickname}({message.sender.user_id}{_t}) -> {self.parse_message_outline(message)}", tag="QQ_OFFICIAL")
|
||||
logger.info(
|
||||
f"{message.sender.nickname}({message.sender.user_id}{_t}) -> {self.parse_message_outline(message)}")
|
||||
|
||||
# 解析出 session_id
|
||||
if self.unique_session or not is_group:
|
||||
@@ -151,14 +155,15 @@ class QQOfficial(Platform):
|
||||
'''
|
||||
回复频道消息
|
||||
'''
|
||||
await super().reply_msg()
|
||||
if isinstance(message, AstrBotMessage):
|
||||
source = message.raw_message
|
||||
else:
|
||||
source = message
|
||||
assert isinstance(source, (botpy.message.Message,
|
||||
botpy.message.GroupMessage, botpy.message.DirectMessage))
|
||||
self.logger.log(
|
||||
f"{message.sender.nickname}({message.sender.user_id}) <- {self.parse_message_outline(res)}", tag="QQ_OFFICIAL")
|
||||
logger.info(
|
||||
f"{message.sender.nickname}({message.sender.user_id}) <- {self.parse_message_outline(res)}")
|
||||
|
||||
plain_text = ''
|
||||
image_path = ''
|
||||
|
||||
+425
-346
@@ -5,90 +5,109 @@ import time
|
||||
import tiktoken
|
||||
import threading
|
||||
import traceback
|
||||
import base64
|
||||
|
||||
from openai import AsyncOpenAI
|
||||
from openai.types.images_response import ImagesResponse
|
||||
from openai.types.chat.chat_completion import ChatCompletion
|
||||
from openai._exceptions import *
|
||||
|
||||
from cores.database.conn import dbConn
|
||||
from persist.session import dbConn
|
||||
from model.provider.provider import Provider
|
||||
from util import general_utils as gu
|
||||
from util.cmd_config import CmdConfig
|
||||
from util.general_utils import Logger
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
from typing import List, Dict
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
abs_path = os.path.dirname(os.path.realpath(sys.argv[0])) + '/'
|
||||
|
||||
MODELS = {
|
||||
"gpt-4o": 128000,
|
||||
"gpt-4o-2024-05-13": 128000,
|
||||
"gpt-4-turbo": 128000,
|
||||
"gpt-4-turbo-2024-04-09": 128000,
|
||||
"gpt-4-turbo-preview": 128000,
|
||||
"gpt-4-0125-preview": 128000,
|
||||
"gpt-4-1106-preview": 128000,
|
||||
"gpt-4-vision-preview": 128000,
|
||||
"gpt-4-1106-vision-preview": 128000,
|
||||
"gpt-4": 8192,
|
||||
"gpt-4-0613": 8192,
|
||||
"gpt-4-32k": 32768,
|
||||
"gpt-4-32k-0613": 32768,
|
||||
"gpt-3.5-turbo-0125": 16385,
|
||||
"gpt-3.5-turbo": 16385,
|
||||
"gpt-3.5-turbo-1106": 16385,
|
||||
"gpt-3.5-turbo-instruct": 4096,
|
||||
"gpt-3.5-turbo-16k": 16385,
|
||||
"gpt-3.5-turbo-0613": 16385,
|
||||
"gpt-3.5-turbo-16k-0613": 16385,
|
||||
}
|
||||
|
||||
class ProviderOpenAIOfficial(Provider):
|
||||
def __init__(self, cfg):
|
||||
self.cc = CmdConfig()
|
||||
self.logger = Logger()
|
||||
def __init__(self, cfg) -> None:
|
||||
super().__init__()
|
||||
|
||||
self.key_list = []
|
||||
# 如果 cfg['key'] 中有长度为 1 的字符串,那么是格式错误,直接报错
|
||||
for key in cfg['key']:
|
||||
if len(key) == 1:
|
||||
raise BaseException(
|
||||
"检查到了长度为 1 的Key。配置文件中的 openai.key 处的格式错误 (符号 - 的后面要加空格)。")
|
||||
if cfg['key'] != '' and cfg['key'] != None:
|
||||
self.key_list = cfg['key']
|
||||
if len(self.key_list) == 0:
|
||||
raise Exception("您打开了 OpenAI 模型服务,但是未填写 key。请前往填写。")
|
||||
os.makedirs("data/openai", exist_ok=True)
|
||||
|
||||
self.key_stat = {}
|
||||
for k in self.key_list:
|
||||
self.key_stat[k] = {'exceed': False, 'used': 0}
|
||||
self.cc = CmdConfig
|
||||
self.key_data_path = "data/openai/keys.json"
|
||||
self.api_keys = []
|
||||
self.chosen_api_key = None
|
||||
self.base_url = None
|
||||
self.keys_data = {} # 记录超额
|
||||
|
||||
self.api_base = None
|
||||
if 'api_base' in cfg and cfg['api_base'] != 'none' and cfg['api_base'] != '':
|
||||
self.api_base = cfg['api_base']
|
||||
self.logger.log(f"设置 api_base 为: {self.api_base}", tag="OpenAI")
|
||||
if cfg['key']: self.api_keys = cfg['key']
|
||||
if cfg['api_base']: self.base_url = cfg['api_base']
|
||||
if not self.api_keys:
|
||||
logger.warn("看起来你没有添加 OpenAI 的 API 密钥,OpenAI LLM 能力将不会启用。")
|
||||
else:
|
||||
self.chosen_api_key = self.api_keys[0]
|
||||
|
||||
for key in self.api_keys:
|
||||
self.keys_data[key] = True
|
||||
|
||||
# 创建 OpenAI Client
|
||||
self.client = AsyncOpenAI(
|
||||
api_key=self.key_list[0],
|
||||
base_url=self.api_base
|
||||
api_key=self.chosen_api_key,
|
||||
base_url=self.base_url
|
||||
)
|
||||
|
||||
self.openai_model_configs: dict = cfg['chatGPTConfigs']
|
||||
self.logger.log(
|
||||
f'加载 OpenAI Chat Configs: {self.openai_model_configs}', tag="OpenAI")
|
||||
self.openai_configs = cfg
|
||||
# 会话缓存
|
||||
self.session_dict = {}
|
||||
# 最大缓存token
|
||||
self.max_tokens = cfg['total_tokens_limit']
|
||||
# 历史记录持久化间隔时间
|
||||
self.history_dump_interval = 20
|
||||
|
||||
self.enc = tiktoken.get_encoding("cl100k_base")
|
||||
|
||||
self.model_configs: Dict = cfg['chatGPTConfigs']
|
||||
super().set_curr_model(self.model_configs['model'])
|
||||
self.image_generator_model_configs: Dict = self.cc.get('openai_image_generate', None)
|
||||
self.session_memory: Dict[str, List] = {} # 会话记忆
|
||||
self.session_memory_lock = threading.Lock()
|
||||
self.max_tokens = self.model_configs['max_tokens'] # 上下文窗口大小
|
||||
self.tokenizer = tiktoken.get_encoding("cl100k_base") # todo: 根据 model 切换分词器
|
||||
self.DEFAULT_PERSONALITY = {
|
||||
"name": "default",
|
||||
"prompt": "你是一个很有帮助的 AI 助手。"
|
||||
}
|
||||
self.curr_personality = self.DEFAULT_PERSONALITY
|
||||
self.session_personality = {} # 记录了某个session是否已设置人格。
|
||||
# 从 SQLite DB 读取历史记录
|
||||
try:
|
||||
db1 = dbConn()
|
||||
for session in db1.get_all_session():
|
||||
self.session_dict[session[0]] = json.loads(session[1])['data']
|
||||
self.logger.log("读取历史记录成功。", tag="OpenAI")
|
||||
self.session_memory_lock.acquire()
|
||||
self.session_memory[session[0]] = json.loads(session[1])['data']
|
||||
self.session_memory_lock.release()
|
||||
except BaseException as e:
|
||||
self.logger.log("读取历史记录失败,但不影响使用。",
|
||||
level=gu.LEVEL_ERROR, tag="OpenAI")
|
||||
|
||||
# 创建转储定时器线程
|
||||
logger.warn(f"读取 OpenAI LLM 对话历史记录 失败:{e}。仍可正常使用。")
|
||||
|
||||
# 定时保存历史记录
|
||||
threading.Thread(target=self.dump_history, daemon=True).start()
|
||||
|
||||
# 人格
|
||||
self.curr_personality = {}
|
||||
|
||||
# 转储历史记录
|
||||
def dump_history(self):
|
||||
'''
|
||||
转储历史记录
|
||||
'''
|
||||
time.sleep(10)
|
||||
db = dbConn()
|
||||
while True:
|
||||
try:
|
||||
# print("转储历史记录...")
|
||||
for key in self.session_dict:
|
||||
data = self.session_dict[key]
|
||||
for key in self.session_memory:
|
||||
data = self.session_memory[key]
|
||||
data_json = {
|
||||
'data': data
|
||||
}
|
||||
@@ -96,326 +115,386 @@ class ProviderOpenAIOfficial(Provider):
|
||||
db.update_session(key, json.dumps(data_json))
|
||||
else:
|
||||
db.insert_session(key, json.dumps(data_json))
|
||||
# print("转储历史记录完毕")
|
||||
logger.debug("已保存 OpenAI 会话历史记录")
|
||||
except BaseException as e:
|
||||
print(e)
|
||||
# 每隔10分钟转储一次
|
||||
time.sleep(10*self.history_dump_interval)
|
||||
|
||||
finally:
|
||||
time.sleep(10*60)
|
||||
|
||||
def personality_set(self, default_personality: dict, session_id: str):
|
||||
if not default_personality: return
|
||||
if session_id not in self.session_memory:
|
||||
self.session_memory[session_id] = []
|
||||
self.curr_personality = default_personality
|
||||
self.session_personality = {} # 重置
|
||||
encoded_prompt = self.tokenizer.encode(default_personality['prompt'])
|
||||
tokens_num = len(encoded_prompt)
|
||||
model = self.model_configs['model']
|
||||
if model in MODELS and tokens_num > MODELS[model] - 500:
|
||||
default_personality['prompt'] = self.tokenizer.decode(encoded_prompt[:MODELS[model] - 500])
|
||||
|
||||
new_record = {
|
||||
"user": {
|
||||
"role": "user",
|
||||
"role": "system",
|
||||
"content": default_personality['prompt'],
|
||||
},
|
||||
"AI": {
|
||||
"role": "assistant",
|
||||
"content": "好的,接下来我会扮演这个角色。"
|
||||
},
|
||||
'type': "personality",
|
||||
'usage_tokens': 0,
|
||||
'single-tokens': 0
|
||||
'usage_tokens': 0, # 到该条目的总 token 数
|
||||
'single-tokens': 0 # 该条目的 token 数
|
||||
}
|
||||
self.session_dict[session_id].append(new_record)
|
||||
|
||||
async def text_chat(self, prompt,
|
||||
session_id=None,
|
||||
image_url=None,
|
||||
function_call=None,
|
||||
extra_conf: dict = None,
|
||||
default_personality: dict = None):
|
||||
if session_id is None:
|
||||
session_id = "unknown"
|
||||
if "unknown" in self.session_dict:
|
||||
del self.session_dict["unknown"]
|
||||
# 会话机制
|
||||
if session_id not in self.session_dict:
|
||||
self.session_dict[session_id] = []
|
||||
self.session_memory[session_id].append(new_record)
|
||||
|
||||
if len(self.session_dict[session_id]) == 0:
|
||||
# 设置默认人格
|
||||
if default_personality is not None:
|
||||
self.personality_set(default_personality, session_id)
|
||||
async def encode_image_bs64(self, image_url: str) -> str:
|
||||
'''
|
||||
将图片转换为 base64
|
||||
'''
|
||||
if image_url.startswith("http"):
|
||||
image_url = await gu.download_image_by_url(image_url)
|
||||
|
||||
with open(image_url, "rb") as f:
|
||||
image_bs64 = base64.b64encode(f.read()).decode()
|
||||
return "data:image/jpeg;base64," + image_bs64
|
||||
|
||||
# 使用 tictoken 截断消息
|
||||
_encoded_prompt = self.enc.encode(prompt)
|
||||
if self.openai_model_configs['max_tokens'] < len(_encoded_prompt):
|
||||
prompt = self.enc.decode(_encoded_prompt[:int(
|
||||
self.openai_model_configs['max_tokens']*0.80)])
|
||||
self.logger.log(f"注意,有一部分 prompt 文本由于超出 token 限制而被截断。",
|
||||
level=gu.LEVEL_WARNING, tag="OpenAI")
|
||||
|
||||
cache_data_list, new_record, req = self.wrap(
|
||||
prompt, session_id, image_url)
|
||||
self.logger.log(f"cache: {str(cache_data_list)}",
|
||||
level=gu.LEVEL_DEBUG, tag="OpenAI")
|
||||
self.logger.log(f"request: {str(req)}",
|
||||
level=gu.LEVEL_DEBUG, tag="OpenAI")
|
||||
retry = 0
|
||||
response = None
|
||||
err = ''
|
||||
|
||||
# 截断倍率
|
||||
truncate_rate = 0.75
|
||||
|
||||
use_gpt4v = False
|
||||
for i in req:
|
||||
if isinstance(i['content'], list):
|
||||
use_gpt4v = True
|
||||
break
|
||||
if image_url is not None:
|
||||
use_gpt4v = True
|
||||
if use_gpt4v:
|
||||
conf = self.openai_model_configs.copy()
|
||||
conf['model'] = 'gpt-4-vision-preview'
|
||||
else:
|
||||
conf = self.openai_model_configs
|
||||
|
||||
if extra_conf is not None:
|
||||
conf.update(extra_conf)
|
||||
|
||||
while retry < 10:
|
||||
try:
|
||||
if function_call is None:
|
||||
response = await self.client.chat.completions.create(
|
||||
messages=req,
|
||||
**conf
|
||||
)
|
||||
else:
|
||||
response = await self.client.chat.completions.create(
|
||||
messages=req,
|
||||
tools=function_call,
|
||||
**conf
|
||||
)
|
||||
break
|
||||
except Exception as e:
|
||||
traceback.print_exc()
|
||||
if 'Invalid content type. image_url is only supported by certain models.' in str(e):
|
||||
raise e
|
||||
if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
|
||||
self.logger.log("当前 Key 已超额或异常, 正在切换",
|
||||
level=gu.LEVEL_WARNING, tag="OpenAI")
|
||||
self.key_stat[self.client.api_key]['exceed'] = True
|
||||
is_switched = self.handle_switch_key()
|
||||
if not is_switched:
|
||||
raise e
|
||||
retry -= 1
|
||||
elif 'maximum context length' in str(e):
|
||||
self.logger.log("token 超限, 清空对应缓存,并进行消息截断", tag="OpenAI")
|
||||
self.session_dict[session_id] = []
|
||||
prompt = prompt[:int(len(prompt)*truncate_rate)]
|
||||
truncate_rate -= 0.05
|
||||
cache_data_list, new_record, req = self.wrap(
|
||||
prompt, session_id)
|
||||
|
||||
elif 'Limit: 3 / min. Please try again in 20s.' in str(e) or "OpenAI response error" in str(e):
|
||||
time.sleep(30)
|
||||
async def retrieve_context(self, session_id: str):
|
||||
'''
|
||||
根据 session_id 获取保存的 OpenAI 格式的上下文
|
||||
'''
|
||||
if session_id not in self.session_memory:
|
||||
raise Exception("会话 ID 不存在")
|
||||
|
||||
# 转换为 openai 要求的格式
|
||||
context = []
|
||||
is_lvm = await self.is_lvm()
|
||||
for record in self.session_memory[session_id]:
|
||||
if "user" in record and record['user']:
|
||||
if not is_lvm and "content" in record['user'] and isinstance(record['user']['content'], list):
|
||||
logger.warn(f"由于当前模型 {self.model_configs['model']}不支持视觉,将忽略上下文中的图片输入。如果一直弹出此警告,可以尝试 reset 指令。")
|
||||
continue
|
||||
else:
|
||||
self.logger.log(str(e), level=gu.LEVEL_ERROR, tag="OpenAI")
|
||||
time.sleep(2)
|
||||
err = str(e)
|
||||
retry += 1
|
||||
if retry >= 10:
|
||||
self.logger.log(
|
||||
r"如果报错, 且您的机器在中国大陆内, 请确保您的电脑已经设置好代理软件(梯子), 并在配置文件设置了系统代理地址。详见 https://github.com/Soulter/QQChannelChatGPT/wiki", tag="OpenAI")
|
||||
raise BaseException("连接出错: "+str(err))
|
||||
assert isinstance(response, ChatCompletion)
|
||||
self.logger.log(
|
||||
f"OPENAI RESPONSE: {response.usage}", level=gu.LEVEL_DEBUG, tag="OpenAI")
|
||||
context.append(record['user'])
|
||||
if "AI" in record and record['AI']:
|
||||
context.append(record['AI'])
|
||||
|
||||
# 结果分类
|
||||
choice = response.choices[0]
|
||||
if choice.message.content != None:
|
||||
# 文本形式
|
||||
chatgpt_res = str(choice.message.content).strip()
|
||||
elif choice.message.tool_calls != None and len(choice.message.tool_calls) > 0:
|
||||
return context
|
||||
|
||||
async def is_lvm(self):
|
||||
'''
|
||||
是否是 LVM
|
||||
'''
|
||||
return self.model_configs['model'].startswith("gpt-4")
|
||||
|
||||
async def get_models(self):
|
||||
'''
|
||||
获取所有模型
|
||||
'''
|
||||
models = await self.client.models.list()
|
||||
logger.info(f"OpenAI 模型列表:{models}")
|
||||
return models
|
||||
|
||||
async def assemble_context(self, session_id: str, prompt: str, image_url: str = None):
|
||||
'''
|
||||
组装上下文,并且根据当前上下文窗口大小截断
|
||||
'''
|
||||
if session_id not in self.session_memory:
|
||||
raise Exception("会话 ID 不存在")
|
||||
|
||||
tokens_num = len(self.tokenizer.encode(prompt))
|
||||
previous_total_tokens_num = 0 if not self.session_memory[session_id] else self.session_memory[session_id][-1]['usage_tokens']
|
||||
|
||||
message = {
|
||||
"usage_tokens": previous_total_tokens_num + tokens_num,
|
||||
"single_tokens": tokens_num,
|
||||
"AI": None
|
||||
}
|
||||
if image_url:
|
||||
user_content = {
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "text",
|
||||
"text": prompt
|
||||
},
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {
|
||||
"url": await self.encode_image_bs64(image_url)
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
else:
|
||||
user_content = {
|
||||
"role": "user",
|
||||
"content": prompt
|
||||
}
|
||||
|
||||
message["user"] = user_content
|
||||
self.session_memory[session_id].append(message)
|
||||
|
||||
# 根据 模型的上下文窗口 淘汰掉多余的记录
|
||||
curr_model = self.model_configs['model']
|
||||
if curr_model in MODELS:
|
||||
maxium_tokens_num = MODELS[curr_model] - 300 # 至少预留 300 给 completion
|
||||
# if message['usage_tokens'] > maxium_tokens_num:
|
||||
# 淘汰多余的记录,使得最终的 usage_tokens 不超过 maxium_tokens_num - 300
|
||||
# contexts = self.session_memory[session_id]
|
||||
# need_to_remove_idx = 0
|
||||
# freed_tokens_num = contexts[0]['single-tokens']
|
||||
# while freed_tokens_num < message['usage_tokens'] - maxium_tokens_num:
|
||||
# need_to_remove_idx += 1
|
||||
# freed_tokens_num += contexts[need_to_remove_idx]['single-tokens']
|
||||
# # 更新之后的所有记录的 usage_tokens
|
||||
# for i in range(len(contexts)):
|
||||
# if i > need_to_remove_idx:
|
||||
# contexts[i]['usage_tokens'] -= freed_tokens_num
|
||||
# logger.debug(f"淘汰上下文记录 {need_to_remove_idx+1} 条,释放 {freed_tokens_num} 个 token。当前上下文总 token 为 {contexts[-1]['usage_tokens']}。")
|
||||
# self.session_memory[session_id] = contexts[need_to_remove_idx+1:]
|
||||
while len(self.session_memory[session_id]) and self.session_memory[session_id][-1]['usage_tokens'] > maxium_tokens_num:
|
||||
self.pop_record(session_id)
|
||||
|
||||
|
||||
async def pop_record(self, session_id: str, pop_system_prompt: bool = False):
|
||||
'''
|
||||
弹出第一条记录
|
||||
'''
|
||||
if session_id not in self.session_memory:
|
||||
raise Exception("会话 ID 不存在")
|
||||
|
||||
if len(self.session_memory[session_id]) == 0:
|
||||
return None
|
||||
|
||||
for i in range(len(self.session_memory[session_id])):
|
||||
# 检查是否是 system prompt
|
||||
if not pop_system_prompt and self.session_memory[session_id][i]['user']['role'] == "system":
|
||||
# 如果只有一个 system prompt,才不删掉
|
||||
f = False
|
||||
for j in range(i+1, len(self.session_memory[session_id])):
|
||||
if self.session_memory[session_id][j]['user']['role'] == "system":
|
||||
f = True
|
||||
break
|
||||
if not f:
|
||||
continue
|
||||
record = self.session_memory[session_id].pop(i)
|
||||
break
|
||||
|
||||
# 更新之后所有记录的 usage_tokens
|
||||
for i in range(len(self.session_memory[session_id])):
|
||||
self.session_memory[session_id][i]['usage_tokens'] -= record['single-tokens']
|
||||
logger.debug(f"淘汰上下文记录 1 条,释放 {record['single-tokens']} 个 token。当前上下文总 token 为 {self.session_memory[session_id][-1]['usage_tokens']}。")
|
||||
return record
|
||||
|
||||
async def text_chat(self,
|
||||
prompt: str,
|
||||
session_id: str,
|
||||
image_url: None=None,
|
||||
tools: None=None,
|
||||
extra_conf: Dict = None,
|
||||
**kwargs
|
||||
) -> str:
|
||||
super().accu_model_stat()
|
||||
if not session_id:
|
||||
session_id = "unknown"
|
||||
if "unknown" in self.session_memory:
|
||||
del self.session_memory["unknown"]
|
||||
|
||||
if session_id not in self.session_memory:
|
||||
self.session_memory[session_id] = []
|
||||
|
||||
if session_id not in self.session_personality or not self.session_personality[session_id]:
|
||||
self.personality_set(self.curr_personality, session_id)
|
||||
self.session_personality[session_id] = True
|
||||
|
||||
# 如果 prompt 超过了最大窗口,截断。
|
||||
# 1. 可以保证之后 pop 的时候不会出现问题
|
||||
# 2. 可以保证不会超过最大 token 数
|
||||
_encoded_prompt = self.tokenizer.encode(prompt)
|
||||
curr_model = self.model_configs['model']
|
||||
if curr_model in MODELS and len(_encoded_prompt) > MODELS[curr_model] - 300:
|
||||
_encoded_prompt = _encoded_prompt[:MODELS[curr_model] - 300]
|
||||
prompt = self.tokenizer.decode(_encoded_prompt)
|
||||
|
||||
# 组装上下文,并且根据当前上下文窗口大小截断
|
||||
await self.assemble_context(session_id, prompt, image_url)
|
||||
|
||||
# 获取上下文,openai 格式
|
||||
contexts = await self.retrieve_context(session_id)
|
||||
|
||||
conf = self.model_configs
|
||||
if extra_conf: conf.update(extra_conf)
|
||||
|
||||
# start request
|
||||
retry = 0
|
||||
rate_limit_retry = 0
|
||||
while retry < 3 or rate_limit_retry < 5:
|
||||
logger.debug(conf)
|
||||
logger.debug(contexts)
|
||||
if tools:
|
||||
completion_coro = self.client.chat.completions.create(
|
||||
messages=contexts,
|
||||
tools=tools,
|
||||
**conf
|
||||
)
|
||||
else:
|
||||
completion_coro = self.client.chat.completions.create(
|
||||
messages=contexts,
|
||||
**conf
|
||||
)
|
||||
try:
|
||||
completion = await completion_coro
|
||||
break
|
||||
except AuthenticationError as e:
|
||||
api_key = self.chosen_api_key[10:] + "..."
|
||||
logger.error(f"OpenAI API Key {api_key} 验证错误。详细原因:{e}。正在切换到下一个可用的 Key(如果有的话)")
|
||||
self.keys_data[self.chosen_api_key] = False
|
||||
ok = await self.switch_to_next_key()
|
||||
if ok: continue
|
||||
else: raise Exception("所有 OpenAI API Key 目前都不可用。")
|
||||
except BadRequestError as e:
|
||||
logger.warn(f"OpenAI 请求异常:{e}。")
|
||||
if "image_url is only supported by certain models." in str(e):
|
||||
raise Exception(f"当前模型 { self.model_configs['model'] } 不支持图片输入,请更换模型。")
|
||||
retry += 1
|
||||
except RateLimitError as e:
|
||||
if "You exceeded your current quota" in str(e):
|
||||
self.keys_data[self.chosen_api_key] = False
|
||||
ok = await self.switch_to_next_key()
|
||||
if ok: continue
|
||||
else: raise Exception("所有 OpenAI API Key 目前都不可用。")
|
||||
logger.error(f"OpenAI API Key {self.chosen_api_key} 达到请求速率限制或者官方服务器当前超载。详细原因:{e}")
|
||||
await self.switch_to_next_key()
|
||||
rate_limit_retry += 1
|
||||
time.sleep(1)
|
||||
except Exception as e:
|
||||
retry += 1
|
||||
if retry >= 3:
|
||||
logger.error(traceback.format_exc())
|
||||
raise Exception(f"OpenAI 请求失败:{e}。重试次数已达到上限。")
|
||||
if "maximum context length" in str(e):
|
||||
logger.warn(f"OpenAI 请求失败:{e}。上下文长度超过限制。尝试弹出最早的记录然后重试。")
|
||||
self.pop_record(session_id)
|
||||
|
||||
logger.warning(f"OpenAI 请求失败:{e}。重试第 {retry} 次。")
|
||||
time.sleep(1)
|
||||
|
||||
assert isinstance(completion, ChatCompletion)
|
||||
logger.debug(f"openai completion: {completion.usage}")
|
||||
|
||||
choice = completion.choices[0]
|
||||
|
||||
usage_tokens = completion.usage.total_tokens
|
||||
completion_tokens = completion.usage.completion_tokens
|
||||
self.session_memory[session_id][-1]['usage_tokens'] = usage_tokens
|
||||
self.session_memory[session_id][-1]['single_tokens'] += completion_tokens
|
||||
|
||||
if choice.message.content:
|
||||
# 返回文本
|
||||
completion_text = str(choice.message.content).strip()
|
||||
elif choice.message.tool_calls and choice.message.tool_calls:
|
||||
# tools call (function calling)
|
||||
return choice.message.tool_calls[0].function
|
||||
|
||||
self.key_stat[self.client.api_key]['used'] += response.usage.total_tokens
|
||||
current_usage_tokens = response.usage.total_tokens
|
||||
|
||||
# 超过指定tokens, 尽可能的保留最多的条目,直到小于max_tokens
|
||||
if current_usage_tokens > self.max_tokens:
|
||||
t = current_usage_tokens
|
||||
index = 0
|
||||
while t > self.max_tokens:
|
||||
if index >= len(cache_data_list):
|
||||
break
|
||||
# 保留人格信息
|
||||
if cache_data_list[index]['type'] != 'personality':
|
||||
t -= int(cache_data_list[index]['single_tokens'])
|
||||
del cache_data_list[index]
|
||||
else:
|
||||
index += 1
|
||||
# 删除完后更新相关字段
|
||||
self.session_dict[session_id] = cache_data_list
|
||||
|
||||
# 添加新条目进入缓存的prompt
|
||||
new_record['AI'] = {
|
||||
'role': 'assistant',
|
||||
'content': chatgpt_res,
|
||||
|
||||
self.session_memory[session_id][-1]['AI'] = {
|
||||
"role": "assistant",
|
||||
"content": completion_text
|
||||
}
|
||||
new_record['usage_tokens'] = current_usage_tokens
|
||||
if len(cache_data_list) > 0:
|
||||
new_record['single_tokens'] = current_usage_tokens - \
|
||||
int(cache_data_list[-1]['usage_tokens'])
|
||||
else:
|
||||
new_record['single_tokens'] = current_usage_tokens
|
||||
|
||||
cache_data_list.append(new_record)
|
||||
|
||||
self.session_dict[session_id] = cache_data_list
|
||||
|
||||
return chatgpt_res
|
||||
|
||||
async def image_chat(self, prompt, img_num=1, img_size="1024x1024"):
|
||||
retry = 0
|
||||
image_url = ''
|
||||
|
||||
image_generate_configs = self.cc.get("openai_image_generate", None)
|
||||
|
||||
while retry < 5:
|
||||
try:
|
||||
response: ImagesResponse = await self.client.images.generate(
|
||||
prompt=prompt,
|
||||
**image_generate_configs
|
||||
)
|
||||
image_url = []
|
||||
for i in range(img_num):
|
||||
image_url.append(response.data[i].url)
|
||||
break
|
||||
except Exception as e:
|
||||
self.logger.log(str(e), level=gu.LEVEL_ERROR)
|
||||
if 'You exceeded' in str(e) or 'Billing hard limit has been reached' in str(
|
||||
e) or 'No API key provided' in str(e) or 'Incorrect API key provided' in str(e):
|
||||
self.logger.log("当前 Key 已超额或者不正常, 正在切换",
|
||||
level=gu.LEVEL_WARNING, tag="OpenAI")
|
||||
self.key_stat[self.client.api_key]['exceed'] = True
|
||||
is_switched = self.handle_switch_key()
|
||||
if not is_switched:
|
||||
raise e
|
||||
elif 'Your request was rejected as a result of our safety system.' in str(e):
|
||||
self.logger.log("您的请求被 OpenAI 安全系统拒绝, 请稍后再试",
|
||||
level=gu.LEVEL_WARNING, tag="OpenAI")
|
||||
raise e
|
||||
else:
|
||||
retry += 1
|
||||
if retry >= 5:
|
||||
raise BaseException("连接超时")
|
||||
|
||||
return image_url
|
||||
|
||||
async def forget(self, session_id=None) -> bool:
|
||||
if session_id is None:
|
||||
return completion_text
|
||||
|
||||
async def switch_to_next_key(self):
|
||||
'''
|
||||
切换到下一个 API Key
|
||||
'''
|
||||
if not self.api_keys:
|
||||
logger.error("OpenAI API Key 不存在。")
|
||||
return False
|
||||
self.session_dict[session_id] = []
|
||||
return True
|
||||
|
||||
def get_prompts_by_cache_list(self, cache_data_list, divide=False, paging=False, size=5, page=1):
|
||||
for key in self.keys_data:
|
||||
if self.keys_data[key]:
|
||||
# 没超额
|
||||
self.chosen_api_key = key
|
||||
self.client.api_key = key
|
||||
logger.info(f"OpenAI 切换到 API Key {key[:10]}... 成功。")
|
||||
return True
|
||||
|
||||
return False
|
||||
|
||||
async def image_generate(self, prompt: str, session_id: str = None, **kwargs) -> str:
|
||||
'''
|
||||
生成图片
|
||||
'''
|
||||
retry = 0
|
||||
conf = self.image_generator_model_configs
|
||||
super().accu_model_stat(model=conf['model'])
|
||||
if not conf:
|
||||
logger.error("OpenAI 图片生成模型配置不存在。")
|
||||
raise Exception("OpenAI 图片生成模型配置不存在。")
|
||||
|
||||
while retry < 3:
|
||||
try:
|
||||
images_response = await self.client.images.generate(
|
||||
prompt=prompt,
|
||||
**conf
|
||||
)
|
||||
image_url = images_response.data[0].url
|
||||
return image_url
|
||||
except Exception as e:
|
||||
retry += 1
|
||||
if retry >= 3:
|
||||
logger.error(traceback.format_exc())
|
||||
raise Exception(f"OpenAI 图片生成请求失败:{e}。重试次数已达到上限。")
|
||||
logger.warning(f"OpenAI 图片生成请求失败:{e}。重试第 {retry} 次。")
|
||||
time.sleep(1)
|
||||
|
||||
async def forget(self, session_id=None, keep_system_prompt: bool=False) -> bool:
|
||||
if session_id is None: return False
|
||||
self.session_memory[session_id] = []
|
||||
if keep_system_prompt:
|
||||
self.personality_set(self.curr_personality, session_id)
|
||||
else:
|
||||
self.curr_personality = self.DEFAULT_PERSONALITY
|
||||
return True
|
||||
|
||||
def dump_contexts_page(self, session_id: str, size=5, page=1,):
|
||||
'''
|
||||
获取缓存的会话
|
||||
'''
|
||||
prompts = ""
|
||||
if paging:
|
||||
page_begin = (page-1)*size
|
||||
page_end = page*size
|
||||
if page_begin < 0:
|
||||
page_begin = 0
|
||||
if page_end > len(cache_data_list):
|
||||
page_end = len(cache_data_list)
|
||||
cache_data_list = cache_data_list[page_begin:page_end]
|
||||
for item in cache_data_list:
|
||||
prompts += str(item['user']['role']) + ":\n" + \
|
||||
str(item['user']['content']) + "\n"
|
||||
prompts += str(item['AI']['role']) + ":\n" + \
|
||||
str(item['AI']['content']) + "\n"
|
||||
# contexts_str = ""
|
||||
# for i, key in enumerate(self.session_memory):
|
||||
# if i < (page-1)*size or i >= page*size:
|
||||
# continue
|
||||
# contexts_str += f"Session ID: {key}\n"
|
||||
# for record in self.session_memory[key]:
|
||||
# if "user" in record:
|
||||
# contexts_str += f"User: {record['user']['content']}\n"
|
||||
# if "AI" in record:
|
||||
# contexts_str += f"AI: {record['AI']['content']}\n"
|
||||
# contexts_str += "---\n"
|
||||
contexts_str = ""
|
||||
if session_id in self.session_memory:
|
||||
for record in self.session_memory[session_id]:
|
||||
if "user" in record and record['user']:
|
||||
text = record['user']['content'][:100] + "..." if len(record['user']['content']) > 100 else record['user']['content']
|
||||
contexts_str += f"User: {text}\n"
|
||||
if "AI" in record and record['AI']:
|
||||
text = record['AI']['content'][:100] + "..." if len(record['AI']['content']) > 100 else record['AI']['content']
|
||||
contexts_str += f"Assistant: {text}\n"
|
||||
else:
|
||||
contexts_str = "会话 ID 不存在。"
|
||||
|
||||
if divide:
|
||||
prompts += "----------\n"
|
||||
return prompts
|
||||
|
||||
def wrap(self, prompt, session_id, image_url=None):
|
||||
if image_url is not None:
|
||||
prompt = [
|
||||
{
|
||||
"type": "text",
|
||||
"text": prompt
|
||||
},
|
||||
{
|
||||
"type": "image_url",
|
||||
"image_url": {
|
||||
"url": image_url
|
||||
}
|
||||
}
|
||||
]
|
||||
# 获得缓存信息
|
||||
context = self.session_dict[session_id]
|
||||
new_record = {
|
||||
"user": {
|
||||
"role": "user",
|
||||
"content": prompt,
|
||||
},
|
||||
"AI": {},
|
||||
'type': "common",
|
||||
'usage_tokens': 0,
|
||||
}
|
||||
req_list = []
|
||||
for i in context:
|
||||
if 'user' in i:
|
||||
req_list.append(i['user'])
|
||||
if 'AI' in i:
|
||||
req_list.append(i['AI'])
|
||||
req_list.append(new_record['user'])
|
||||
return context, new_record, req_list
|
||||
|
||||
def handle_switch_key(self):
|
||||
is_all_exceed = True
|
||||
for key in self.key_stat:
|
||||
if key == None or self.key_stat[key]['exceed']:
|
||||
continue
|
||||
is_all_exceed = False
|
||||
self.client.api_key = key
|
||||
self.logger.log(
|
||||
f"切换到 Key: {key}(已使用 token: {self.key_stat[key]['used']})", level=gu.LEVEL_INFO, tag="OpenAI")
|
||||
break
|
||||
if is_all_exceed:
|
||||
self.logger.log(
|
||||
"所有 Key 已超额", level=gu.LEVEL_CRITICAL, tag="OpenAI")
|
||||
return False
|
||||
return True
|
||||
return contexts_str, len(self.session_memory[session_id])
|
||||
|
||||
def set_model(self, model: str):
|
||||
self.model_configs['model'] = model
|
||||
self.cc.put_by_dot_str("openai.chatGPTConfigs.model", model)
|
||||
super().set_curr_model(model)
|
||||
|
||||
def get_configs(self):
|
||||
return self.openai_configs
|
||||
return self.model_configs
|
||||
|
||||
def get_key_stat(self):
|
||||
return self.key_stat
|
||||
|
||||
def get_key_list(self):
|
||||
return self.key_list
|
||||
def get_keys_data(self):
|
||||
return self.keys_data
|
||||
|
||||
def get_curr_key(self):
|
||||
return self.client.api_key
|
||||
return self.chosen_api_key
|
||||
|
||||
def set_key(self, key):
|
||||
self.client.api_key = key
|
||||
|
||||
# 添加key
|
||||
def append_key(self, key, sponsor):
|
||||
self.key_list.append(key)
|
||||
self.key_stat[key] = {'exceed': False, 'used': 0, 'sponsor': sponsor}
|
||||
|
||||
# 检查key是否可用
|
||||
async def check_key(self, key):
|
||||
client_ = AsyncOpenAI(
|
||||
api_key=key,
|
||||
base_url=self.api_base
|
||||
)
|
||||
messages = [{"role": "user", "content": "please just echo `test`"}]
|
||||
await client_.chat.completions.create(
|
||||
messages=messages,
|
||||
**self.openai_model_configs
|
||||
)
|
||||
return True
|
||||
self.client.api_key = key
|
||||
@@ -1,9 +1,32 @@
|
||||
from collections import defaultdict
|
||||
|
||||
class Provider:
|
||||
def __init__(self) -> None:
|
||||
self.model_stat = defaultdict(int) # 用于记录 LLM Model 使用数据
|
||||
self.curr_model_name = "unknown"
|
||||
|
||||
def reset_model_stat(self):
|
||||
self.model_stat.clear()
|
||||
|
||||
def set_curr_model(self, model_name: str):
|
||||
self.curr_model_name = model_name
|
||||
|
||||
def get_curr_model(self):
|
||||
'''
|
||||
返回当前正在使用的 LLM
|
||||
'''
|
||||
return self.curr_model_name
|
||||
|
||||
def accu_model_stat(self, model: str = None):
|
||||
if not model:
|
||||
model = self.get_curr_model()
|
||||
self.model_stat[model] += 1
|
||||
|
||||
async def text_chat(self,
|
||||
prompt: str,
|
||||
session_id: str,
|
||||
image_url: None,
|
||||
function_call: None,
|
||||
image_url: None = None,
|
||||
tools: None = None,
|
||||
extra_conf: dict = None,
|
||||
default_personality: dict = None,
|
||||
**kwargs) -> str:
|
||||
@@ -14,11 +37,11 @@ class Provider:
|
||||
|
||||
[optional]
|
||||
image_url: 图片url(识图)
|
||||
function_call: 函数调用
|
||||
tools: 函数调用工具
|
||||
extra_conf: 额外配置
|
||||
default_personality: 默认人格
|
||||
'''
|
||||
raise NotImplementedError
|
||||
raise NotImplementedError()
|
||||
|
||||
async def image_generate(self, prompt, session_id, **kwargs) -> str:
|
||||
'''
|
||||
@@ -26,10 +49,10 @@ class Provider:
|
||||
prompt: 提示词
|
||||
session_id: 会话id
|
||||
'''
|
||||
raise NotImplementedError
|
||||
raise NotImplementedError()
|
||||
|
||||
async def forget(self, session_id=None) -> bool:
|
||||
'''
|
||||
重置会话
|
||||
'''
|
||||
raise NotImplementedError
|
||||
raise NotImplementedError()
|
||||
|
||||
@@ -1,13 +1,16 @@
|
||||
import sqlite3
|
||||
import yaml
|
||||
import os
|
||||
import shutil
|
||||
import time
|
||||
from typing import Tuple
|
||||
|
||||
|
||||
class dbConn():
|
||||
def __init__(self):
|
||||
# 读取参数,并支持中文
|
||||
conn = sqlite3.connect("data.db")
|
||||
db_path = "data/data.db"
|
||||
if os.path.exists("data.db"):
|
||||
shutil.copy("data.db", db_path)
|
||||
conn = sqlite3.connect(db_path)
|
||||
conn.text_factory = str
|
||||
self.conn = conn
|
||||
c = conn.cursor()
|
||||
+5
-4
@@ -4,15 +4,16 @@ requests
|
||||
openai~=1.2.3
|
||||
qq-botpy
|
||||
chardet~=5.1.0
|
||||
Pillow~=9.4.0
|
||||
GitPython~=3.1.31
|
||||
Pillow
|
||||
GitPython
|
||||
nakuru-project
|
||||
beautifulsoup4
|
||||
googlesearch-python
|
||||
tiktoken
|
||||
readability-lxml
|
||||
baidu-aip~=4.16.9
|
||||
baidu-aip
|
||||
websockets
|
||||
flask
|
||||
psutil
|
||||
lxml_html_clean
|
||||
lxml_html_clean
|
||||
SparkleLogging
|
||||
|
||||
@@ -0,0 +1,28 @@
|
||||
from typing import Union, List, Callable
|
||||
from dataclasses import dataclass
|
||||
|
||||
|
||||
@dataclass
|
||||
class CommandItem():
|
||||
'''
|
||||
用来描述单个指令
|
||||
'''
|
||||
|
||||
command_name: Union[str, tuple] # 指令名
|
||||
callback: Callable # 回调函数
|
||||
description: str # 描述
|
||||
origin: str # 注册来源
|
||||
|
||||
class CommandResult():
|
||||
'''
|
||||
用于在Command中返回多个值
|
||||
'''
|
||||
|
||||
def __init__(self, hit: bool, success: bool = False, message_chain: list = [], command_name: str = "unknown_command") -> None:
|
||||
self.hit = hit
|
||||
self.success = success
|
||||
self.message_chain = message_chain
|
||||
self.command_name = command_name
|
||||
|
||||
def _result_tuple(self):
|
||||
return (self.success, self.message_chain, self.command_name)
|
||||
@@ -0,0 +1 @@
|
||||
VERSION = '3.2.3'
|
||||
@@ -0,0 +1,62 @@
|
||||
from enum import Enum
|
||||
from typing import List
|
||||
from dataclasses import dataclass
|
||||
from nakuru.entities.components import BaseMessageComponent
|
||||
|
||||
from type.register import RegisteredPlatform
|
||||
from type.types import GlobalObject
|
||||
|
||||
class MessageType(Enum):
|
||||
GROUP_MESSAGE = 'GroupMessage' # 群组形式的消息
|
||||
FRIEND_MESSAGE = 'FriendMessage' # 私聊、好友等单聊消息
|
||||
GUILD_MESSAGE = 'GuildMessage' # 频道消息
|
||||
|
||||
|
||||
@dataclass
|
||||
class MessageMember():
|
||||
user_id: str # 发送者id
|
||||
nickname: str = None
|
||||
|
||||
|
||||
class AstrBotMessage():
|
||||
'''
|
||||
AstrBot 的消息对象
|
||||
'''
|
||||
tag: str # 消息来源标签
|
||||
type: MessageType # 消息类型
|
||||
self_id: str # 机器人的识别id
|
||||
session_id: str # 会话id
|
||||
message_id: str # 消息id
|
||||
sender: MessageMember # 发送者
|
||||
message: List[BaseMessageComponent] # 消息链使用 Nakuru 的消息链格式
|
||||
message_str: str # 最直观的纯文本消息字符串
|
||||
raw_message: object
|
||||
timestamp: int # 消息时间戳
|
||||
|
||||
def __str__(self) -> str:
|
||||
return str(self.__dict__)
|
||||
|
||||
class AstrMessageEvent():
|
||||
'''
|
||||
消息事件。
|
||||
'''
|
||||
context: GlobalObject # 一些公用数据
|
||||
message_str: str # 纯消息字符串
|
||||
message_obj: AstrBotMessage # 消息对象
|
||||
platform: RegisteredPlatform # 来源平台
|
||||
role: str # 基本身份。`admin` 或 `member`
|
||||
session_id: int # 会话 id
|
||||
|
||||
def __init__(self,
|
||||
message_str: str,
|
||||
message_obj: AstrBotMessage,
|
||||
platform: RegisteredPlatform,
|
||||
role: str,
|
||||
context: GlobalObject,
|
||||
session_id: str = None):
|
||||
self.context = context
|
||||
self.message_str = message_str
|
||||
self.message_obj = message_obj
|
||||
self.platform = platform
|
||||
self.role = role
|
||||
self.session_id = session_id
|
||||
@@ -0,0 +1,27 @@
|
||||
from enum import Enum
|
||||
from dataclasses import dataclass
|
||||
|
||||
class PluginType(Enum):
|
||||
PLATFORM = 'platform' # 平台类插件。
|
||||
LLM = 'llm' # 大语言模型类插件
|
||||
COMMON = 'common' # 其他插件
|
||||
|
||||
|
||||
@dataclass
|
||||
class PluginMetadata:
|
||||
'''
|
||||
插件的元数据。
|
||||
'''
|
||||
# required
|
||||
plugin_name: str
|
||||
plugin_type: PluginType
|
||||
author: str # 插件作者
|
||||
desc: str # 插件简介
|
||||
version: str # 插件版本
|
||||
|
||||
# optional
|
||||
repo: str = None # 插件仓库地址
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"PluginMetadata({self.plugin_name}, {self.plugin_type}, {self.desc}, {self.version}, {self.repo})"
|
||||
|
||||
@@ -0,0 +1,53 @@
|
||||
from model.provider.provider import Provider as LLMProvider
|
||||
from model.platform._platfrom import Platform
|
||||
from type.plugin import *
|
||||
from typing import List
|
||||
from types import ModuleType
|
||||
from dataclasses import dataclass
|
||||
|
||||
@dataclass
|
||||
class RegisteredPlugin:
|
||||
'''
|
||||
注册在 AstrBot 中的插件。
|
||||
'''
|
||||
metadata: PluginMetadata
|
||||
plugin_instance: object
|
||||
module_path: str
|
||||
module: ModuleType
|
||||
root_dir_name: str
|
||||
trig_cnt: int = 0
|
||||
|
||||
def reset_trig_cnt(self):
|
||||
self.trig_cnt = 0
|
||||
|
||||
def trig(self):
|
||||
self.trig_cnt += 1
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"RegisteredPlugin({self.metadata}, {self.module_path}, {self.root_dir_name})"
|
||||
|
||||
|
||||
RegisteredPlugins = List[RegisteredPlugin]
|
||||
|
||||
|
||||
@dataclass
|
||||
class RegisteredPlatform:
|
||||
'''
|
||||
注册在 AstrBot 中的平台。平台应当实现 Platform 接口。
|
||||
'''
|
||||
platform_name: str
|
||||
platform_instance: Platform
|
||||
origin: str = None # 注册来源
|
||||
|
||||
def __str__(self) -> str:
|
||||
return self.platform_name
|
||||
|
||||
|
||||
@dataclass
|
||||
class RegisteredLLM:
|
||||
'''
|
||||
注册在 AstrBot 中的大语言模型调用。大语言模型应当实现 LLMProvider 接口。
|
||||
'''
|
||||
llm_name: str
|
||||
llm_instance: LLMProvider
|
||||
origin: str = None # 注册来源
|
||||
@@ -0,0 +1,36 @@
|
||||
|
||||
from type.register import *
|
||||
from typing import List
|
||||
from logging import Logger
|
||||
|
||||
class GlobalObject:
|
||||
'''
|
||||
存放一些公用的数据,用于在不同模块(如core与command)之间传递
|
||||
'''
|
||||
version: str # 机器人版本
|
||||
nick: tuple # 用户定义的机器人的别名
|
||||
base_config: dict # config.json 中导出的配置
|
||||
cached_plugins: List[RegisteredPlugin] # 加载的插件
|
||||
platforms: List[RegisteredPlatform]
|
||||
llms: List[RegisteredLLM]
|
||||
|
||||
web_search: bool # 是否开启了网页搜索
|
||||
reply_prefix: str # 回复前缀
|
||||
unique_session: bool # 是否开启了独立会话
|
||||
default_personality: dict
|
||||
dashboard_data = None
|
||||
|
||||
logger: Logger = None
|
||||
|
||||
def __init__(self):
|
||||
self.nick = None # gocq 的昵称
|
||||
self.base_config = None # config.yaml
|
||||
self.cached_plugins = [] # 缓存的插件
|
||||
self.web_search = False # 是否开启了网页搜索
|
||||
self.reply_prefix = None
|
||||
self.unique_session = False
|
||||
self.platforms = []
|
||||
self.llms = []
|
||||
self.default_personality = None
|
||||
self.dashboard_data = None
|
||||
self.stat = {}
|
||||
@@ -0,0 +1,183 @@
|
||||
import traceback
|
||||
import random
|
||||
import json
|
||||
import asyncio
|
||||
import aiohttp
|
||||
import os
|
||||
|
||||
from readability import Document
|
||||
from bs4 import BeautifulSoup
|
||||
from openai.types.chat.chat_completion_message_tool_call import Function
|
||||
from util.agent.func_call import FuncCall
|
||||
from util.search_engine_scraper.config import HEADERS, USER_AGENTS
|
||||
from util.search_engine_scraper.bing import Bing
|
||||
from util.search_engine_scraper.sogo import Sogo
|
||||
from util.search_engine_scraper.google import Google
|
||||
from model.provider.provider import Provider
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
|
||||
bing_search = Bing()
|
||||
sogo_search = Sogo()
|
||||
google = Google()
|
||||
proxy = os.environ.get("HTTPS_PROXY", None)
|
||||
|
||||
def tidy_text(text: str) -> str:
|
||||
'''
|
||||
清理文本,去除空格、换行符等
|
||||
'''
|
||||
return text.strip().replace("\n", " ").replace("\r", " ").replace(" ", " ")
|
||||
|
||||
# def special_fetch_zhihu(link: str) -> str:
|
||||
# '''
|
||||
# function-calling 函数, 用于获取知乎文章的内容
|
||||
# '''
|
||||
# response = requests.get(link, headers=HEADERS)
|
||||
# response.encoding = "utf-8"
|
||||
# soup = BeautifulSoup(response.text, "html.parser")
|
||||
|
||||
# if "zhuanlan.zhihu.com" in link:
|
||||
# r = soup.find(class_="Post-RichTextContainer")
|
||||
# else:
|
||||
# r = soup.find(class_="List-item").find(class_="RichContent-inner")
|
||||
# if r is None:
|
||||
# print("debug: zhihu none")
|
||||
# raise Exception("zhihu none")
|
||||
# return tidy_text(r.text)
|
||||
|
||||
async def search_from_bing(keyword: str) -> str:
|
||||
'''
|
||||
tools, 从 bing 搜索引擎搜索
|
||||
'''
|
||||
logger.info("web_searcher - search_from_bing: " + keyword)
|
||||
results = []
|
||||
try:
|
||||
results = await google.search(keyword, 5)
|
||||
except BaseException as e:
|
||||
logger.error(f"google search error: {e}, try the next one...")
|
||||
if len(results) == 0:
|
||||
logger.debug("search google failed")
|
||||
try:
|
||||
results = await bing_search.search(keyword, 5)
|
||||
except BaseException as e:
|
||||
logger.error(f"bing search error: {e}, try the next one...")
|
||||
if len(results) == 0:
|
||||
logger.debug("search bing failed")
|
||||
try:
|
||||
results = await sogo_search.search(keyword, 5)
|
||||
except BaseException as e:
|
||||
logger.error(f"sogo search error: {e}")
|
||||
if len(results) == 0:
|
||||
logger.debug("search sogo failed")
|
||||
return "没有搜索到结果"
|
||||
ret = ""
|
||||
idx = 1
|
||||
for i in results:
|
||||
logger.info(f"web_searcher - scraping web: {i.title} - {i.url}")
|
||||
try:
|
||||
site_result = await fetch_website_content(i.url)
|
||||
except:
|
||||
site_result = ""
|
||||
site_result = site_result[:600] + "..." if len(site_result) > 600 else site_result
|
||||
ret += f"{idx}. {i.title} \n{i.snippet}\n{site_result}\n\n"
|
||||
idx += 1
|
||||
return ret
|
||||
|
||||
|
||||
async def fetch_website_content(url):
|
||||
header = HEADERS
|
||||
header.update({'User-Agent': random.choice(USER_AGENTS)})
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url, headers=HEADERS, timeout=6, proxy=proxy) as response:
|
||||
html = await response.text(encoding="utf-8")
|
||||
doc = Document(html)
|
||||
ret = doc.summary(html_partial=True)
|
||||
soup = BeautifulSoup(ret, 'html.parser')
|
||||
ret = tidy_text(soup.get_text())
|
||||
return ret
|
||||
|
||||
|
||||
async def web_search(prompt, provider: Provider, session_id, official_fc=False):
|
||||
'''
|
||||
official_fc: 使用官方 function-calling
|
||||
'''
|
||||
new_func_call = FuncCall(provider)
|
||||
|
||||
new_func_call.add_func("web_search", [{
|
||||
"type": "string",
|
||||
"name": "keyword",
|
||||
"description": "搜索关键词"
|
||||
}],
|
||||
"通过搜索引擎搜索。如果问题需要获取近期、实时的消息,在网页上搜索(如天气、新闻或任何需要通过网页获取信息的问题),则调用此函数;如果没有,不要调用此函数。",
|
||||
search_from_bing
|
||||
)
|
||||
new_func_call.add_func("fetch_website_content", [{
|
||||
"type": "string",
|
||||
"name": "url",
|
||||
"description": "要获取内容的网页链接"
|
||||
}],
|
||||
"获取网页的内容。如果问题带有合法的网页链接并且用户有需求了解网页内容(例如: `帮我总结一下 https://github.com 的内容`), 就调用此函数。如果没有,不要调用此函数。",
|
||||
fetch_website_content
|
||||
)
|
||||
|
||||
has_func = False
|
||||
function_invoked_ret = ""
|
||||
if official_fc:
|
||||
# we use official function-calling
|
||||
result = await provider.text_chat(prompt, session_id, tools=new_func_call.get_func())
|
||||
if isinstance(result, Function):
|
||||
logger.debug(f"web_searcher - function-calling: {result}")
|
||||
func_obj = None
|
||||
for i in new_func_call.func_list:
|
||||
if i["name"] == result.name:
|
||||
func_obj = i["func_obj"]
|
||||
break
|
||||
if not func_obj:
|
||||
return await provider.text_chat(prompt, session_id) + "\n(网页搜索失败, 此为默认回复)"
|
||||
try:
|
||||
args = json.loads(result.arguments)
|
||||
function_invoked_ret = await func_obj(**args)
|
||||
has_func = True
|
||||
except BaseException as e:
|
||||
traceback.print_exc()
|
||||
return await provider.text_chat(prompt, session_id) + "\n(网页搜索失败, 此为默认回复)"
|
||||
else:
|
||||
return result
|
||||
else:
|
||||
# we use our own function-calling
|
||||
try:
|
||||
args = {
|
||||
'question': prompt,
|
||||
'func_definition': new_func_call.func_dump(),
|
||||
'is_task': False,
|
||||
'is_summary': False,
|
||||
}
|
||||
function_invoked_ret, has_func = await asyncio.to_thread(new_func_call.func_call, **args)
|
||||
except BaseException as e:
|
||||
res = await provider.text_chat(prompt) + "\n(网页搜索失败, 此为默认回复)"
|
||||
return res
|
||||
has_func = True
|
||||
|
||||
if has_func:
|
||||
await provider.forget(session_id)
|
||||
summary_prompt = f"""
|
||||
你是一个专业且高效的助手,你的任务是
|
||||
1. 根据下面的相关材料对用户的问题 `{prompt}` 进行总结;
|
||||
2. 简单地发表你对这个问题的简略看法。
|
||||
|
||||
# 例子
|
||||
1. 从网上的信息来看,可以知道...我个人认为...你觉得呢?
|
||||
2. 根据网上的最新信息,可以得知...我觉得...你怎么看?
|
||||
|
||||
# 限制
|
||||
1. 限制在 200 字以内;
|
||||
2. 请**直接输出总结**,不要输出多余的内容和提示语。
|
||||
|
||||
# 相关材料
|
||||
{function_invoked_ret}"""
|
||||
ret = await provider.text_chat(summary_prompt, session_id)
|
||||
return ret
|
||||
return function_invoked_ret
|
||||
+28
-4
@@ -1,9 +1,9 @@
|
||||
import os
|
||||
import json
|
||||
import yaml
|
||||
from typing import Union
|
||||
|
||||
cpath = "cmd_config.json"
|
||||
|
||||
cpath = "data/cmd_config.json"
|
||||
|
||||
def check_exist():
|
||||
if not os.path.exists(cpath):
|
||||
@@ -89,8 +89,7 @@ def init_astrbot_config_items():
|
||||
# 加载默认配置
|
||||
cc = CmdConfig()
|
||||
cc.init_attributes("qq_forward_threshold", 200)
|
||||
cc.init_attributes(
|
||||
"qq_welcome", "欢迎加入本群!\n欢迎给https://github.com/Soulter/QQChannelChatGPT项目一个Star😊~\n输入help查看帮助~\n")
|
||||
cc.init_attributes("qq_welcome", "")
|
||||
cc.init_attributes("qq_pic_mode", False)
|
||||
cc.init_attributes("gocq_host", "127.0.0.1")
|
||||
cc.init_attributes("gocq_http_port", 5700)
|
||||
@@ -119,3 +118,28 @@ def init_astrbot_config_items():
|
||||
cc.init_attributes("https_proxy", "")
|
||||
cc.init_attributes("dashboard_username", "")
|
||||
cc.init_attributes("dashboard_password", "")
|
||||
|
||||
|
||||
|
||||
def try_migrate_config():
|
||||
'''
|
||||
将 cmd_config.json 迁移至 data/cmd_config.json
|
||||
'''
|
||||
print("try migrate configs")
|
||||
if os.path.exists("cmd_config.json"):
|
||||
with open("cmd_config.json", "r", encoding="utf-8-sig") as f:
|
||||
data = json.load(f)
|
||||
with open("data/cmd_config.json", "w", encoding="utf-8-sig") as f:
|
||||
json.dump(data, f, indent=2, ensure_ascii=False)
|
||||
try:
|
||||
os.remove("cmd_config.json")
|
||||
except Exception as e:
|
||||
pass
|
||||
if not os.path.exists("cmd_config.json") and not os.path.exists("data/cmd_config.json"):
|
||||
# 从 configs/config.yaml 上拿数据
|
||||
configs_pth = os.path.abspath(os.path.join(os.path.abspath(__file__), "../../configs/config.yaml"))
|
||||
with open(configs_pth, encoding='utf-8') as f:
|
||||
data = yaml.load(f, Loader=yaml.Loader)
|
||||
print(data)
|
||||
with open("data/cmd_config.json", "w", encoding="utf-8-sig") as f:
|
||||
json.dump(data, f, indent=2, ensure_ascii=False)
|
||||
|
||||
@@ -1,300 +0,0 @@
|
||||
import requests
|
||||
import util.general_utils as gu
|
||||
import traceback
|
||||
import time
|
||||
import json
|
||||
import asyncio
|
||||
from googlesearch import search, SearchResult
|
||||
from readability import Document
|
||||
from bs4 import BeautifulSoup
|
||||
from openai.types.chat.chat_completion_message_tool_call import Function
|
||||
from util.function_calling.func_call import (
|
||||
FuncCall,
|
||||
FuncCallJsonFormatError,
|
||||
FuncNotFoundError
|
||||
)
|
||||
from model.provider.provider import Provider
|
||||
|
||||
|
||||
def tidy_text(text: str) -> str:
|
||||
'''
|
||||
清理文本,去除空格、换行符等
|
||||
'''
|
||||
return text.strip().replace("\n", " ").replace("\r", " ").replace(" ", " ")
|
||||
|
||||
|
||||
def special_fetch_zhihu(link: str) -> str:
|
||||
'''
|
||||
function-calling 函数, 用于获取知乎文章的内容
|
||||
'''
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
|
||||
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
|
||||
}
|
||||
response = requests.get(link, headers=headers)
|
||||
response.encoding = "utf-8"
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
|
||||
if "zhuanlan.zhihu.com" in link:
|
||||
r = soup.find(class_="Post-RichTextContainer")
|
||||
else:
|
||||
r = soup.find(class_="List-item").find(class_="RichContent-inner")
|
||||
if r is None:
|
||||
print("debug: zhihu none")
|
||||
raise Exception("zhihu none")
|
||||
return tidy_text(r.text)
|
||||
|
||||
|
||||
def google_web_search(keyword) -> str:
|
||||
'''
|
||||
获取 google 搜索结果, 得到 title、desc、link
|
||||
'''
|
||||
ret = ""
|
||||
index = 1
|
||||
try:
|
||||
ls = search(keyword, advanced=True, num_results=4)
|
||||
for i in ls:
|
||||
desc = i.description
|
||||
try:
|
||||
# gu.log(f"搜索网页: {i.url}", tag="网页搜索", level=gu.LEVEL_INFO)
|
||||
desc = fetch_website_content(i.url)
|
||||
except BaseException as e:
|
||||
print(f"(google) fetch_website_content err: {str(e)}")
|
||||
# gu.log(f"# No.{str(index)}\ntitle: {i.title}\nurl: {i.url}\ncontent: {desc}\n\n", level=gu.LEVEL_DEBUG, max_len=9999)
|
||||
ret += f"# No.{str(index)}\ntitle: {i.title}\nurl: {i.url}\ncontent: {desc}\n\n"
|
||||
index += 1
|
||||
except Exception as e:
|
||||
print(f"google search err: {str(e)}")
|
||||
return web_keyword_search_via_bing(keyword)
|
||||
return ret
|
||||
|
||||
|
||||
def web_keyword_search_via_bing(keyword) -> str:
|
||||
'''
|
||||
获取bing搜索结果, 得到 title、desc、link
|
||||
'''
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
|
||||
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
|
||||
}
|
||||
url = "https://www.bing.com/search?q="+keyword
|
||||
_cnt = 0
|
||||
# _detail_store = []
|
||||
while _cnt < 5:
|
||||
try:
|
||||
response = requests.get(url, headers=headers)
|
||||
response.encoding = "utf-8"
|
||||
# gu.log(f"bing response: {response.text}", tag="bing", level=gu.LEVEL_DEBUG, max_len=9999)
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
res = ""
|
||||
result_cnt = 0
|
||||
ols = soup.find(id="b_results")
|
||||
for i in ols.find_all("li", class_="b_algo"):
|
||||
try:
|
||||
title = i.find("h2").text
|
||||
desc = i.find("p").text
|
||||
link = i.find("h2").find("a").get("href")
|
||||
# res.append({
|
||||
# "title": title,
|
||||
# "desc": desc,
|
||||
# "link": link,
|
||||
# })
|
||||
try:
|
||||
# gu.log(f"搜索网页: {link}", tag="网页搜索", level=gu.LEVEL_INFO)
|
||||
desc = fetch_website_content(link)
|
||||
except BaseException as e:
|
||||
print(f"(bing) fetch_website_content err: {str(e)}")
|
||||
|
||||
res += f"# No.{str(result_cnt + 1)}\ntitle: {title}\nurl: {link}\ncontent: {desc}\n\n"
|
||||
result_cnt += 1
|
||||
if result_cnt > 5:
|
||||
break
|
||||
|
||||
# if len(_detail_store) >= 3:
|
||||
# continue
|
||||
# # 爬取前两条的网页内容
|
||||
# if "zhihu.com" in link:
|
||||
# try:
|
||||
# _detail_store.append(special_fetch_zhihu(link))
|
||||
# except BaseException as e:
|
||||
# print(f"zhihu parse err: {str(e)}")
|
||||
# else:
|
||||
# try:
|
||||
# _detail_store.append(fetch_website_content(link))
|
||||
# except BaseException as e:
|
||||
# print(f"fetch_website_content err: {str(e)}")
|
||||
|
||||
except Exception as e:
|
||||
print(f"bing parse err: {str(e)}")
|
||||
if result_cnt == 0:
|
||||
break
|
||||
return res
|
||||
except Exception as e:
|
||||
# gu.log(f"bing fetch err: {str(e)}")
|
||||
_cnt += 1
|
||||
time.sleep(1)
|
||||
|
||||
# gu.log("fail to fetch bing info, using sougou.")
|
||||
return web_keyword_search_via_sougou(keyword)
|
||||
|
||||
|
||||
def web_keyword_search_via_sougou(keyword) -> str:
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
|
||||
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
|
||||
}
|
||||
url = f"https://sogou.com/web?query={keyword}"
|
||||
response = requests.get(url, headers=headers)
|
||||
response.encoding = "utf-8"
|
||||
soup = BeautifulSoup(response.text, "html.parser")
|
||||
|
||||
res = []
|
||||
results = soup.find("div", class_="results")
|
||||
for i in results.find_all("div", class_="vrwrap"):
|
||||
try:
|
||||
title = tidy_text(i.find("h3").text)
|
||||
link = tidy_text(i.find("h3").find("a").get("href"))
|
||||
if link.startswith("/link?url="):
|
||||
link = "https://www.sogou.com" + link
|
||||
res.append({
|
||||
"title": title,
|
||||
"link": link,
|
||||
})
|
||||
if len(res) >= 5: # 限制5条
|
||||
break
|
||||
except Exception as e:
|
||||
pass
|
||||
# gu.log(f"sougou parse err: {str(e)}", tag="web_keyword_search_via_sougou", level=gu.LEVEL_ERROR)
|
||||
# 爬取网页内容
|
||||
_detail_store = []
|
||||
for i in res:
|
||||
if _detail_store >= 3:
|
||||
break
|
||||
try:
|
||||
_detail_store.append(fetch_website_content(i["link"]))
|
||||
except BaseException as e:
|
||||
print(f"fetch_website_content err: {str(e)}")
|
||||
ret = f"{str(res)}"
|
||||
if len(_detail_store) > 0:
|
||||
ret += f"\n网页内容: {str(_detail_store)}"
|
||||
return ret
|
||||
|
||||
|
||||
def fetch_website_content(url):
|
||||
# gu.log(f"fetch_website_content: {url}", tag="fetch_website_content", level=gu.LEVEL_DEBUG)
|
||||
headers = {
|
||||
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) \
|
||||
AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
|
||||
}
|
||||
response = requests.get(url, headers=headers, timeout=3)
|
||||
response.encoding = "utf-8"
|
||||
doc = Document(response.content)
|
||||
# print('title:', doc.title())
|
||||
ret = doc.summary(html_partial=True)
|
||||
soup = BeautifulSoup(ret, 'html.parser')
|
||||
ret = tidy_text(soup.get_text())
|
||||
return ret
|
||||
|
||||
|
||||
async def web_search(question, provider: Provider, session_id, official_fc=False):
|
||||
'''
|
||||
official_fc: 使用官方 function-calling
|
||||
'''
|
||||
new_func_call = FuncCall(provider)
|
||||
new_func_call.add_func("google_web_search", [{
|
||||
"type": "string",
|
||||
"name": "keyword",
|
||||
"description": "google search query (分词,尽量保留所有信息)"
|
||||
}],
|
||||
"通过搜索引擎搜索。如果问题需要获取近期、实时的消息,在网页上搜索(如天气、新闻或任何需要通过网页获取信息的问题),则调用此函数;如果没有,不要调用此函数。",
|
||||
web_keyword_search_via_bing
|
||||
)
|
||||
new_func_call.add_func("fetch_website_content", [{
|
||||
"type": "string",
|
||||
"name": "url",
|
||||
"description": "网址"
|
||||
}],
|
||||
"获取网页的内容。如果问题带有合法的网页链接(例如: `帮我总结一下 https://github.com 的内容`), 就调用此函数。如果没有,不要调用此函数。",
|
||||
fetch_website_content
|
||||
)
|
||||
question1 = f"{question} \n> hint: 最多只能调用1个function, 并且存在不会调用任何function的可能性。"
|
||||
has_func = False
|
||||
function_invoked_ret = ""
|
||||
if official_fc:
|
||||
# we use official function-calling
|
||||
func = await provider.text_chat(question1, session_id, function_call=new_func_call.get_func())
|
||||
if isinstance(func, Function):
|
||||
# 执行对应的结果:
|
||||
func_obj = None
|
||||
for i in new_func_call.func_list:
|
||||
if i["name"] == func.name:
|
||||
func_obj = i["func_obj"]
|
||||
break
|
||||
if not func_obj:
|
||||
# gu.log("找不到返回的 func name " + func.name, level=gu.LEVEL_ERROR)
|
||||
return await provider.text_chat(question1, session_id) + "\n(网页搜索失败, 此为默认回复)"
|
||||
try:
|
||||
args = json.loads(func.arguments)
|
||||
# we use to_thread to avoid blocking the event loop
|
||||
function_invoked_ret = await asyncio.to_thread(func_obj, **args)
|
||||
has_func = True
|
||||
except BaseException as e:
|
||||
traceback.print_exc()
|
||||
return await provider.text_chat(question1, session_id) + "\n(网页搜索失败, 此为默认回复)"
|
||||
else:
|
||||
# now func is a string
|
||||
return func
|
||||
else:
|
||||
# we use our own function-calling
|
||||
try:
|
||||
args = {
|
||||
'question': question1,
|
||||
'func_definition': new_func_call.func_dump(),
|
||||
'is_task': False,
|
||||
'is_summary': False,
|
||||
}
|
||||
function_invoked_ret, has_func = await asyncio.to_thread(new_func_call.func_call, **args)
|
||||
except BaseException as e:
|
||||
res = await provider.text_chat(question) + "\n(网页搜索失败, 此为默认回复)"
|
||||
return res
|
||||
has_func = True
|
||||
|
||||
if has_func:
|
||||
await provider.forget(session_id)
|
||||
question3 = f"""
|
||||
你的任务是:
|
||||
1. 根据末尾的材料对问题`{question}`做切题的总结(详细);
|
||||
2. 简单地发表你对这个问题的看法(简略)。
|
||||
你的总结末尾应当有对材料的引用, 如果有链接, 请在末尾附上引用网页链接。引用格式严格按照 `\n[1] title url \n`。
|
||||
不要提到任何函数调用的信息。
|
||||
|
||||
一些回复的消息模板:
|
||||
模板1:
|
||||
```
|
||||
从网上的信息来看,可以知道...我个人认为...你觉得呢?
|
||||
```
|
||||
模板2:
|
||||
```
|
||||
根据网上的最新信息,可以得知...我觉得...你怎么看?
|
||||
```
|
||||
你可以根据这些模板来组织回答,但可以不照搬,要根据问题的内容来回答。
|
||||
|
||||
以下是相关材料:
|
||||
"""
|
||||
_c = 0
|
||||
while _c < 3:
|
||||
try:
|
||||
print('text chat')
|
||||
final_ret = await provider.text_chat(question3 + "```" + function_invoked_ret + "```", session_id)
|
||||
return final_ret
|
||||
except Exception as e:
|
||||
print(e)
|
||||
_c += 1
|
||||
if _c == 3:
|
||||
raise e
|
||||
if "The message you submitted was too long" in str(e):
|
||||
await provider.forget(session_id)
|
||||
function_invoked_ret = function_invoked_ret[:int(
|
||||
len(function_invoked_ret) / 2)]
|
||||
time.sleep(3)
|
||||
return function_invoked_ret
|
||||
+84
-149
@@ -1,143 +1,22 @@
|
||||
import datetime
|
||||
import time
|
||||
import socket
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
import os
|
||||
import re
|
||||
import requests
|
||||
from util.cmd_config import CmdConfig
|
||||
import aiohttp
|
||||
import socket
|
||||
from cores.astrbot.types import GlobalObject
|
||||
import platform
|
||||
import logging
|
||||
import json
|
||||
import sys
|
||||
import psutil
|
||||
import ssl
|
||||
|
||||
PLATFORM_GOCQ = 'gocq'
|
||||
PLATFORM_QQCHAN = 'qqchan'
|
||||
from PIL import Image, ImageDraw, ImageFont
|
||||
from type.types import GlobalObject
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
FG_COLORS = {
|
||||
"black": "30",
|
||||
"red": "31",
|
||||
"green": "32",
|
||||
"yellow": "33",
|
||||
"blue": "34",
|
||||
"purple": "35",
|
||||
"cyan": "36",
|
||||
"white": "37",
|
||||
"default": "39",
|
||||
}
|
||||
|
||||
BG_COLORS = {
|
||||
"black": "40",
|
||||
"red": "41",
|
||||
"green": "42",
|
||||
"yellow": "43",
|
||||
"blue": "44",
|
||||
"purple": "45",
|
||||
"cyan": "46",
|
||||
"white": "47",
|
||||
"default": "49",
|
||||
}
|
||||
|
||||
LEVEL_DEBUG = "DEBUG"
|
||||
LEVEL_INFO = "INFO"
|
||||
LEVEL_WARNING = "WARN"
|
||||
LEVEL_ERROR = "ERROR"
|
||||
LEVEL_CRITICAL = "CRITICAL"
|
||||
|
||||
# 为了兼容旧版
|
||||
level_codes = {
|
||||
LEVEL_DEBUG: logging.DEBUG,
|
||||
LEVEL_INFO: logging.INFO,
|
||||
LEVEL_WARNING: logging.WARNING,
|
||||
LEVEL_ERROR: logging.ERROR,
|
||||
LEVEL_CRITICAL: logging.CRITICAL,
|
||||
}
|
||||
|
||||
level_colors = {
|
||||
"INFO": "green",
|
||||
"WARN": "yellow",
|
||||
"ERROR": "red",
|
||||
"CRITICAL": "purple",
|
||||
}
|
||||
|
||||
|
||||
class Logger:
|
||||
def __init__(self) -> None:
|
||||
self.history = []
|
||||
|
||||
def log(
|
||||
self,
|
||||
msg: str,
|
||||
level: str = "INFO",
|
||||
tag: str = "System",
|
||||
fg: str = None,
|
||||
bg: str = None,
|
||||
max_len: int = 50000,
|
||||
err: Exception = None,):
|
||||
"""
|
||||
日志打印函数
|
||||
"""
|
||||
_set_level_code = level_codes[LEVEL_INFO]
|
||||
if 'LOG_LEVEL' in os.environ and os.environ['LOG_LEVEL'] in level_codes:
|
||||
_set_level_code = level_codes[os.environ['LOG_LEVEL']]
|
||||
|
||||
if level in level_codes and level_codes[level] < _set_level_code:
|
||||
return
|
||||
|
||||
if err is not None:
|
||||
msg += "\n异常原因: " + str(err)
|
||||
level = LEVEL_ERROR
|
||||
|
||||
if len(msg) > max_len:
|
||||
msg = msg[:max_len] + "..."
|
||||
now = datetime.datetime.now().strftime("%H:%M:%S")
|
||||
|
||||
pres = []
|
||||
for line in msg.split("\n"):
|
||||
if line == "\n":
|
||||
pres.append("")
|
||||
else:
|
||||
pres.append(f"[{now}] [{tag}/{level}] {line}")
|
||||
|
||||
if level == "INFO":
|
||||
if fg is None:
|
||||
fg = FG_COLORS["green"]
|
||||
if bg is None:
|
||||
bg = BG_COLORS["default"]
|
||||
elif level == "WARN":
|
||||
if fg is None:
|
||||
fg = FG_COLORS["yellow"]
|
||||
if bg is None:
|
||||
bg = BG_COLORS["default"]
|
||||
elif level == "ERROR":
|
||||
if fg is None:
|
||||
fg = FG_COLORS["red"]
|
||||
if bg is None:
|
||||
bg = BG_COLORS["default"]
|
||||
elif level == "CRITICAL":
|
||||
if fg is None:
|
||||
fg = FG_COLORS["purple"]
|
||||
if bg is None:
|
||||
bg = BG_COLORS["default"]
|
||||
|
||||
ret = ""
|
||||
for line in pres:
|
||||
ret += f"\033[{fg};{bg}m{line}\033[0m\n"
|
||||
try:
|
||||
requests.post("http://localhost:6185/api/log",
|
||||
data=ret[:-1].encode(), timeout=1)
|
||||
except BaseException as e:
|
||||
pass
|
||||
self.history.append(ret)
|
||||
if len(self.history) > 100:
|
||||
self.history = self.history[-100:]
|
||||
print(ret[:-1])
|
||||
|
||||
|
||||
log = Logger().log
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
|
||||
def port_checker(port: int, host: str = "localhost"):
|
||||
@@ -477,14 +356,40 @@ def save_temp_img(img: Image) -> str:
|
||||
if time.time() - ctime > 3600:
|
||||
os.remove(path)
|
||||
except Exception as e:
|
||||
print(f"清除临时文件失败: {e}", level=LEVEL_WARNING, tag="GeneralUtils")
|
||||
print(f"清除临时文件失败: {e}")
|
||||
|
||||
# 获得时间戳
|
||||
timestamp = int(time.time())
|
||||
p = f"temp/{timestamp}.png"
|
||||
img.save(p)
|
||||
p = f"temp/{timestamp}.jpg"
|
||||
|
||||
if isinstance(img, Image.Image):
|
||||
img.save(p)
|
||||
else:
|
||||
with open(p, "wb") as f:
|
||||
f.write(img)
|
||||
logger.info(f"保存临时图片: {p}")
|
||||
return p
|
||||
|
||||
async def download_image_by_url(url: str) -> str:
|
||||
'''
|
||||
下载图片
|
||||
'''
|
||||
try:
|
||||
logger.info(f"下载图片: {url}")
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url) as resp:
|
||||
return save_temp_img(await resp.read())
|
||||
except aiohttp.client_exceptions.ClientConnectorSSLError as e:
|
||||
# 关闭SSL验证
|
||||
ssl_context = ssl.create_default_context()
|
||||
ssl_context.check_hostname = False
|
||||
ssl_context.verify_mode = ssl.CERT_NONE
|
||||
async with aiohttp.ClientSession(trust_env=False) as session:
|
||||
async with session.get(url, ssl=ssl_context) as resp:
|
||||
return save_temp_img(await resp.read())
|
||||
except Exception as e:
|
||||
raise e
|
||||
|
||||
|
||||
def create_text_image(title: str, text: str, max_width=30, font_size=20):
|
||||
'''
|
||||
@@ -517,17 +422,6 @@ def create_markdown_image(text: str):
|
||||
raise e
|
||||
|
||||
|
||||
def try_migrate_config(old_config: dict):
|
||||
'''
|
||||
迁移配置文件到 cmd_config.json
|
||||
'''
|
||||
cc = CmdConfig()
|
||||
if cc.get("qqbot", None) is None:
|
||||
# 未迁移过
|
||||
for k in old_config:
|
||||
cc.put(k, old_config[k])
|
||||
|
||||
|
||||
def get_local_ip_addresses():
|
||||
ip = ''
|
||||
try:
|
||||
@@ -557,15 +451,41 @@ def get_sys_info(global_object: GlobalObject):
|
||||
|
||||
|
||||
def upload(_global_object: GlobalObject):
|
||||
'''
|
||||
上传相关非敏感统计数据
|
||||
'''
|
||||
time.sleep(10)
|
||||
while True:
|
||||
addr_ip = ''
|
||||
platform_stats = {}
|
||||
llm_stats = {}
|
||||
plugin_stats = {}
|
||||
for platform in _global_object.platforms:
|
||||
platform_stats[platform.platform_name] = {
|
||||
"cnt_receive": platform.platform_instance.cnt_receive,
|
||||
"cnt_reply": platform.platform_instance.cnt_reply
|
||||
}
|
||||
|
||||
for llm in _global_object.llms:
|
||||
stat = llm.llm_instance.model_stat
|
||||
for k in stat:
|
||||
llm_stats[llm.llm_name + "#" + k] = stat[k]
|
||||
llm.llm_instance.reset_model_stat()
|
||||
|
||||
for plugin in _global_object.cached_plugins:
|
||||
plugin_stats[plugin.metadata.plugin_name] = {
|
||||
"metadata": plugin.metadata,
|
||||
"trig_cnt": plugin.trig_cnt
|
||||
}
|
||||
plugin.reset_trig_cnt()
|
||||
|
||||
try:
|
||||
res = {
|
||||
"version": _global_object.version,
|
||||
"count": _global_object.cnt_total,
|
||||
"ip": addr_ip,
|
||||
"sys": sys.platform,
|
||||
"admin": "null",
|
||||
"stat_version": "moon",
|
||||
"version": _global_object.version, # 版本号
|
||||
"platform_stats": platform_stats, # 过去 30 分钟各消息平台交互消息数
|
||||
"llm_stats": llm_stats,
|
||||
"plugin_stats": plugin_stats,
|
||||
"sys": sys.platform, # 系统版本
|
||||
}
|
||||
resp = requests.post(
|
||||
'https://api.soulter.top/upload', data=json.dumps(res), timeout=5)
|
||||
@@ -575,7 +495,22 @@ def upload(_global_object: GlobalObject):
|
||||
_global_object.cnt_total = 0
|
||||
except BaseException as e:
|
||||
pass
|
||||
time.sleep(10*60)
|
||||
time.sleep(30*60)
|
||||
|
||||
def retry(n: int = 3):
|
||||
'''
|
||||
重试装饰器
|
||||
'''
|
||||
def decorator(func):
|
||||
def wrapper(*args, **kwargs):
|
||||
for i in range(n):
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except Exception as e:
|
||||
if i == n-1: raise e
|
||||
logger.warning(f"函数 {func.__name__} 第 {i+1} 次重试... {e}")
|
||||
return wrapper
|
||||
return decorator
|
||||
|
||||
|
||||
def run_monitor(global_object: GlobalObject):
|
||||
|
||||
@@ -1,11 +1,5 @@
|
||||
from cores.astrbot.types import (
|
||||
PluginMetadata,
|
||||
RegisteredLLM,
|
||||
RegisteredPlugin,
|
||||
RegisteredPlatform,
|
||||
RegisteredPlugins,
|
||||
PluginType,
|
||||
GlobalObject,
|
||||
AstrMessageEvent,
|
||||
CommandResult
|
||||
)
|
||||
from type.plugin import PluginMetadata, PluginType
|
||||
from type.register import RegisteredLLM, RegisteredPlatform, RegisteredPlugin, RegisteredPlugins
|
||||
from type.types import GlobalObject
|
||||
from type.message import AstrMessageEvent
|
||||
from type.command import CommandResult
|
||||
@@ -1,5 +1,6 @@
|
||||
from cores.astrbot.core import oper_msg
|
||||
from cores.astrbot.types import AstrMessageEvent, CommandResult
|
||||
from astrbot.core import oper_msg
|
||||
from type.message import *
|
||||
from type.command import CommandResult
|
||||
from model.platform._message_result import MessageResult
|
||||
|
||||
'''
|
||||
|
||||
@@ -5,7 +5,8 @@
|
||||
'''
|
||||
from model.provider.provider import Provider as LLMProvider
|
||||
from model.platform._platfrom import Platform
|
||||
from cores.astrbot.types import GlobalObject, RegisteredPlatform, RegisteredLLM
|
||||
from type.types import GlobalObject
|
||||
from type.register import RegisteredPlatform, RegisteredLLM
|
||||
|
||||
def register_platform(platform_name: str, platform_instance: Platform, context: GlobalObject) -> None:
|
||||
'''
|
||||
|
||||
@@ -2,4 +2,4 @@
|
||||
插件类型
|
||||
'''
|
||||
|
||||
from cores.astrbot.types import PluginType
|
||||
from type.plugin import PluginType
|
||||
+73
-54
@@ -1,26 +1,25 @@
|
||||
'''
|
||||
插件工具函数
|
||||
'''
|
||||
import os
|
||||
import os, sys
|
||||
import inspect
|
||||
import shutil
|
||||
import stat
|
||||
import traceback
|
||||
|
||||
try:
|
||||
import git.exc
|
||||
from git.repo import Repo
|
||||
except ImportError:
|
||||
pass
|
||||
import shutil
|
||||
import importlib
|
||||
import stat
|
||||
import traceback
|
||||
from types import ModuleType
|
||||
from typing import List
|
||||
from pip._internal import main as pipmain
|
||||
from cores.astrbot.types import (
|
||||
PluginMetadata,
|
||||
PluginType,
|
||||
RegisteredPlugin,
|
||||
RegisteredPlugins
|
||||
)
|
||||
from type.plugin import *
|
||||
from type.register import *
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
from type.types import GlobalObject
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
|
||||
|
||||
# 找出模块里所有的类名
|
||||
@@ -62,32 +61,50 @@ def get_modules(path):
|
||||
|
||||
|
||||
def get_plugin_store_path():
|
||||
if os.path.exists("addons/plugins"):
|
||||
return "addons/plugins"
|
||||
elif os.path.exists("QQChannelChatGPT/addons/plugins"):
|
||||
return "QQChannelChatGPT/addons/plugins"
|
||||
elif os.path.exists("AstrBot/addons/plugins"):
|
||||
return "AstrBot/addons/plugins"
|
||||
else:
|
||||
raise FileNotFoundError("插件文件夹不存在。")
|
||||
|
||||
plugin_dir = os.path.abspath(os.path.join(os.path.abspath(__file__), "../../addons/plugins"))
|
||||
return plugin_dir
|
||||
|
||||
def get_plugin_modules():
|
||||
plugins = []
|
||||
try:
|
||||
if os.path.exists("addons/plugins"):
|
||||
plugins = get_modules("addons/plugins")
|
||||
plugin_dir = get_plugin_store_path()
|
||||
if os.path.exists(plugin_dir):
|
||||
plugins = get_modules(plugin_dir)
|
||||
return plugins
|
||||
elif os.path.exists("QQChannelChatGPT/addons/plugins"):
|
||||
plugins = get_modules("QQChannelChatGPT/addons/plugins")
|
||||
return plugins
|
||||
else:
|
||||
return None
|
||||
except BaseException as e:
|
||||
raise e
|
||||
|
||||
def check_plugin_dept_update(cached_plugins: RegisteredPlugins, target_plugin: str = None):
|
||||
plugin_dir = get_plugin_store_path()
|
||||
if not os.path.exists(plugin_dir):
|
||||
return False
|
||||
to_update = []
|
||||
if target_plugin:
|
||||
to_update.append(target_plugin)
|
||||
else:
|
||||
for p in cached_plugins:
|
||||
to_update.append(p.root_dir_name)
|
||||
for p in to_update:
|
||||
plugin_path = os.path.join(plugin_dir, p)
|
||||
if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
|
||||
pth = os.path.join(plugin_path, "requirements.txt")
|
||||
logger.info(f"正在检查更新插件 {p} 的依赖: {pth}")
|
||||
update_plugin_dept(os.path.join(plugin_path, "requirements.txt"))
|
||||
|
||||
|
||||
def plugin_reload(cached_plugins: RegisteredPlugins):
|
||||
def has_init_param(cls, param_name):
|
||||
try:
|
||||
# 获取 __init__ 方法的签名
|
||||
init_signature = inspect.signature(cls.__init__)
|
||||
|
||||
# 检查参数名是否在签名中
|
||||
return param_name in init_signature.parameters
|
||||
except (AttributeError, ValueError):
|
||||
# 如果类没有 __init__ 方法或者无法获取签名
|
||||
return False
|
||||
|
||||
def plugin_reload(ctx: GlobalObject):
|
||||
cached_plugins = ctx.cached_plugins
|
||||
plugins = get_plugin_modules()
|
||||
if plugins is None:
|
||||
return False, "未找到任何插件模块"
|
||||
@@ -103,15 +120,18 @@ def plugin_reload(cached_plugins: RegisteredPlugins):
|
||||
module_path = plugin['module_path']
|
||||
root_dir_name = plugin['pname']
|
||||
|
||||
if module_path in registered_map:
|
||||
# 之前注册过
|
||||
module = importlib.reload(module)
|
||||
else:
|
||||
module = __import__("addons.plugins." +
|
||||
check_plugin_dept_update(cached_plugins, root_dir_name)
|
||||
|
||||
module = __import__("addons.plugins." +
|
||||
root_dir_name + "." + p, fromlist=[p])
|
||||
|
||||
cls = get_classes(p, module)
|
||||
obj = getattr(module, cls[0])()
|
||||
|
||||
try:
|
||||
# 尝试传入 ctx
|
||||
obj = getattr(module, cls[0])(ctx=ctx)
|
||||
except:
|
||||
obj = getattr(module, cls[0])()
|
||||
|
||||
metadata = None
|
||||
try:
|
||||
@@ -123,8 +143,7 @@ def plugin_reload(cached_plugins: RegisteredPlugins):
|
||||
else:
|
||||
metadata = PluginMetadata(
|
||||
plugin_name=info['name'],
|
||||
plugin_type=PluginType.COMMON if 'plugin_type' not in info else PluginType(
|
||||
info['plugin_type']),
|
||||
plugin_type=PluginType.COMMON if 'plugin_type' not in info else PluginType(info['plugin_type']),
|
||||
author=info['author'],
|
||||
desc=info['desc'],
|
||||
version=info['version'],
|
||||
@@ -138,13 +157,15 @@ def plugin_reload(cached_plugins: RegisteredPlugins):
|
||||
except BaseException as e:
|
||||
fail_rec += f"注册插件 {module_path} 失败, 原因: {str(e)}\n"
|
||||
continue
|
||||
cached_plugins.append(RegisteredPlugin(
|
||||
metadata=metadata,
|
||||
plugin_instance=obj,
|
||||
module=module,
|
||||
module_path=module_path,
|
||||
root_dir_name=root_dir_name
|
||||
))
|
||||
|
||||
if module_path not in registered_map:
|
||||
cached_plugins.append(RegisteredPlugin(
|
||||
metadata=metadata,
|
||||
plugin_instance=obj,
|
||||
module=module,
|
||||
module_path=module_path,
|
||||
root_dir_name=root_dir_name
|
||||
))
|
||||
except BaseException as e:
|
||||
traceback.print_exc()
|
||||
fail_rec += f"加载{p}插件出现问题,原因 {str(e)}\n"
|
||||
@@ -152,6 +173,11 @@ def plugin_reload(cached_plugins: RegisteredPlugins):
|
||||
return True, None
|
||||
else:
|
||||
return False, fail_rec
|
||||
|
||||
def update_plugin_dept(path):
|
||||
mirror = "https://mirrors.aliyun.com/pypi/simple/"
|
||||
py = sys.executable
|
||||
os.system(f"{py} -m pip install -r {path} -i {mirror} --quiet")
|
||||
|
||||
|
||||
def install_plugin(repo_url: str, cached_plugins: RegisteredPlugins):
|
||||
@@ -163,15 +189,12 @@ def install_plugin(repo_url: str, cached_plugins: RegisteredPlugins):
|
||||
d = repo_url.split("/")[-1]
|
||||
# 转换非法字符:-
|
||||
d = d.replace("-", "_")
|
||||
d = d.lower() # 转换为小写
|
||||
# 创建文件夹
|
||||
plugin_path = os.path.join(ppath, d)
|
||||
if os.path.exists(plugin_path):
|
||||
remove_dir(plugin_path)
|
||||
Repo.clone_from(repo_url, to_path=plugin_path, branch='master')
|
||||
# 读取插件的requirements.txt
|
||||
if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
|
||||
if pipmain(['install', '-r', os.path.join(plugin_path, "requirements.txt"), '--quiet']) != 0:
|
||||
raise Exception("插件的依赖安装失败, 需要您手动 pip 安装对应插件的依赖。")
|
||||
ok, err = plugin_reload(cached_plugins)
|
||||
if not ok:
|
||||
raise Exception(err)
|
||||
@@ -206,10 +229,6 @@ def update_plugin(plugin_name: str, cached_plugins: RegisteredPlugins):
|
||||
plugin_path = os.path.join(ppath, root_dir_name)
|
||||
repo = Repo(path=plugin_path)
|
||||
repo.remotes.origin.pull()
|
||||
# 读取插件的requirements.txt
|
||||
if os.path.exists(os.path.join(plugin_path, "requirements.txt")):
|
||||
if pipmain(['install', '-r', os.path.join(plugin_path, "requirements.txt"), '--quiet']) != 0:
|
||||
raise Exception("插件依赖安装失败, 需要您手动pip安装对应插件的依赖。")
|
||||
ok, err = plugin_reload(cached_plugins)
|
||||
if not ok:
|
||||
raise Exception(err)
|
||||
|
||||
@@ -0,0 +1,38 @@
|
||||
from typing import List
|
||||
|
||||
try:
|
||||
from util.search_engine_scraper.engine import SearchEngine, SearchResult
|
||||
from util.search_engine_scraper.config import HEADERS, USER_AGENT_BING
|
||||
except ImportError:
|
||||
from engine import SearchEngine, SearchResult
|
||||
from config import HEADERS, USER_AGENT_BING
|
||||
|
||||
class Bing(SearchEngine):
|
||||
def __init__(self) -> None:
|
||||
super().__init__()
|
||||
self.base_url = "https://www.bing.com"
|
||||
self.headers.update({'User-Agent': USER_AGENT_BING})
|
||||
|
||||
def _set_selector(self, selector: str):
|
||||
selectors = {
|
||||
'url': 'div.b_attribution cite',
|
||||
'title': 'h2',
|
||||
'text': 'p',
|
||||
'links': 'ol#b_results > li.b_algo',
|
||||
'next': 'div#b_content nav[role="navigation"] a.sb_pagN'
|
||||
}
|
||||
return selectors[selector]
|
||||
|
||||
async def _get_next_page(self, query) -> str:
|
||||
if self.page == 1:
|
||||
await self._get_html(self.base_url)
|
||||
url = f'{self.base_url}/search?q={query}&form=QBLH&sp=-1&lq=0&pq=hi&sc=10-2&qs=n&sk=&cvid=DE75965E2D6346D681288933984DE48F&ghsh=0&ghacc=0&ghpl='
|
||||
return await self._get_html(url, None)
|
||||
|
||||
async def search(self, query: str, num_results: int) -> List[SearchResult]:
|
||||
results = await super().search(query, num_results)
|
||||
for result in results:
|
||||
if not isinstance(result.url, str):
|
||||
result.url = result.url.text
|
||||
|
||||
return results
|
||||
@@ -0,0 +1,20 @@
|
||||
HEADERS = {
|
||||
'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; rv:84.0) Gecko/20100101 Firefox/84.0',
|
||||
'Accept': '*/*',
|
||||
'Connection': 'keep-alive',
|
||||
'Accept-Language': 'en-GB,en;q=0.5'
|
||||
}
|
||||
|
||||
USER_AGENT_BING = 'Mozilla/5.0 (Windows NT 6.1; rv:84.0) Gecko/20100101 Firefox/84.0'
|
||||
USER_AGENTS = [
|
||||
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36',
|
||||
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
|
||||
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:89.0) Gecko/20100101 Firefox/89.0',
|
||||
'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:88.0) Gecko/20100101 Firefox/88.0',
|
||||
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36',
|
||||
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
|
||||
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1.2 Safari/537.36',
|
||||
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Version/14.1 Safari/537.36',
|
||||
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:89.0) Gecko/20100101 Firefox/89.0',
|
||||
'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:88.0) Gecko/20100101 Firefox/88.0'
|
||||
]
|
||||
@@ -0,0 +1,73 @@
|
||||
import random
|
||||
try:
|
||||
from util.search_engine_scraper.config import HEADERS, USER_AGENTS
|
||||
except ImportError:
|
||||
from config import HEADERS, USER_AGENTS
|
||||
|
||||
from bs4 import BeautifulSoup
|
||||
from aiohttp import ClientSession
|
||||
from dataclasses import dataclass
|
||||
from typing import List
|
||||
|
||||
|
||||
@dataclass
|
||||
class SearchResult():
|
||||
title: str
|
||||
url: str
|
||||
snippet: str
|
||||
|
||||
def __str__(self) -> str:
|
||||
return f"{self.title} - {self.url}\n{self.snippet}"
|
||||
|
||||
class SearchEngine():
|
||||
'''
|
||||
搜索引擎爬虫基类
|
||||
'''
|
||||
|
||||
def __init__(self) -> None:
|
||||
self.TIMEOUT = 10
|
||||
self.page = 1
|
||||
self.headers = HEADERS
|
||||
|
||||
def _set_selector(self, selector: str) -> None:
|
||||
raise NotImplementedError()
|
||||
|
||||
def _get_next_page(self):
|
||||
raise NotImplementedError()
|
||||
|
||||
async def _get_html(self, url: str, data: dict = None) -> str:
|
||||
headers = self.headers
|
||||
headers["Referer"] = url
|
||||
headers["User-Agent"] = random.choice(USER_AGENTS)
|
||||
if data:
|
||||
async with ClientSession() as session:
|
||||
async with session.post(url, headers=headers, data=data, timeout=self.TIMEOUT) as resp:
|
||||
return await resp.text(encoding="utf-8")
|
||||
else:
|
||||
async with ClientSession() as session:
|
||||
async with session.get(url, headers=headers, timeout=self.TIMEOUT) as resp:
|
||||
return await resp.text(encoding="utf-8")
|
||||
|
||||
|
||||
def tidy_text(self, text: str) -> str:
|
||||
'''
|
||||
清理文本,去除空格、换行符等
|
||||
'''
|
||||
return text.strip().replace("\n", " ").replace("\r", " ").replace(" ", " ")
|
||||
|
||||
|
||||
async def search(self, query: str, num_results: int) -> List[SearchResult]:
|
||||
try:
|
||||
resp = await self._get_next_page(query)
|
||||
soup = BeautifulSoup(resp, 'html.parser')
|
||||
links = soup.select(self._set_selector('links'))
|
||||
results = []
|
||||
for link in links:
|
||||
title = self.tidy_text(link.select_one(self._set_selector('title')).text)
|
||||
url = link.select_one(self._set_selector('url'))
|
||||
snippet = ''
|
||||
if title and url:
|
||||
results.append(SearchResult(title=title, url=url, snippet=snippet))
|
||||
return results[:num_results] if len(results) > num_results else results
|
||||
except Exception as e:
|
||||
raise e
|
||||
@@ -0,0 +1,27 @@
|
||||
import os
|
||||
from googlesearch import search
|
||||
|
||||
try:
|
||||
from util.search_engine_scraper.engine import SearchEngine, SearchResult
|
||||
from util.search_engine_scraper.config import HEADERS, USER_AGENTS
|
||||
except ImportError:
|
||||
from engine import SearchEngine, SearchResult
|
||||
from config import HEADERS, USER_AGENTS
|
||||
|
||||
from typing import List
|
||||
|
||||
class Google(SearchEngine):
|
||||
def __init__(self) -> None:
|
||||
super().__init__()
|
||||
self.proxy = os.environ.get("HTTPS_PROXY")
|
||||
|
||||
async def search(self, query: str, num_results: int) -> List[SearchResult]:
|
||||
results = []
|
||||
try:
|
||||
print("use proxy:", self.proxy)
|
||||
ls = search(query, advanced=True, num_results=num_results, timeout=3, proxy=self.proxy)
|
||||
for i in ls:
|
||||
results.append(SearchResult(title=i.title, url=i.url, snippet=i.description))
|
||||
except Exception as e:
|
||||
raise e
|
||||
return results
|
||||
@@ -0,0 +1,49 @@
|
||||
import random, re
|
||||
from bs4 import BeautifulSoup
|
||||
|
||||
try:
|
||||
from util.search_engine_scraper.engine import SearchEngine, SearchResult
|
||||
from util.search_engine_scraper.config import HEADERS, USER_AGENTS
|
||||
except ImportError:
|
||||
from engine import SearchEngine, SearchResult
|
||||
from config import HEADERS, USER_AGENTS
|
||||
|
||||
from typing import List
|
||||
|
||||
class Sogo(SearchEngine):
|
||||
def __init__(self) -> None:
|
||||
super().__init__()
|
||||
self.base_url = "https://www.sogou.com"
|
||||
self.headers['User-Agent'] = random.choice(USER_AGENTS)
|
||||
|
||||
|
||||
def _set_selector(self, selector: str):
|
||||
selectors = {
|
||||
'url': 'h3 > a',
|
||||
'title': 'h3',
|
||||
'text': '',
|
||||
'links': 'div.results > div.vrwrap:not(.middle-better-hintBox)',
|
||||
'next': ''
|
||||
}
|
||||
return selectors[selector]
|
||||
|
||||
async def _get_next_page(self, query) -> str:
|
||||
url = f'{self.base_url}/web?query={query}'
|
||||
return await self._get_html(url, None)
|
||||
|
||||
async def search(self, query: str, num_results: int) -> List[SearchResult]:
|
||||
results = await super().search(query, num_results)
|
||||
for result in results:
|
||||
result.url = result.url.get("href")
|
||||
if result.url.startswith("/link?"):
|
||||
result.url = self.base_url + result.url
|
||||
result.url = await self._parse_url(result.url)
|
||||
return results
|
||||
|
||||
async def _parse_url(self, url) -> str:
|
||||
html = await self._get_html(url)
|
||||
soup = BeautifulSoup(html, 'html.parser')
|
||||
script = soup.find("script")
|
||||
if script:
|
||||
url = re.search(r'window.location.replace\("(.+?)"\)', script.string).group(1)
|
||||
return url
|
||||
@@ -0,0 +1,22 @@
|
||||
from sogo import Sogo
|
||||
from bing import Bing
|
||||
|
||||
sogo_search = Sogo()
|
||||
bing_search = Bing()
|
||||
async def search(keyword: str) -> str:
|
||||
results = await sogo_search.search(keyword, 5)
|
||||
# results = await bing_search.search(keyword, 5)
|
||||
ret = ""
|
||||
if len(results) == 0:
|
||||
return "没有搜索到结果"
|
||||
|
||||
idx = 1
|
||||
for i in results:
|
||||
ret += f"{idx}. {i.title}({i.url})\n{i.snippet}\n\n"
|
||||
idx += 1
|
||||
|
||||
return ret
|
||||
|
||||
import asyncio
|
||||
ret = asyncio.run(search("gpt4orelease"))
|
||||
print(ret)
|
||||
+34
-9
@@ -6,9 +6,35 @@ except BaseException as e:
|
||||
has_git = False
|
||||
import sys, os
|
||||
import requests
|
||||
import psutil
|
||||
from type.config import VERSION
|
||||
from SparkleLogging.utils.core import LogManager
|
||||
from logging import Logger
|
||||
|
||||
logger: Logger = LogManager.GetLogger(log_name='astrbot-core')
|
||||
|
||||
|
||||
def terminate_child_processes():
|
||||
try:
|
||||
parent = psutil.Process(os.getpid())
|
||||
children = parent.children(recursive=True)
|
||||
logger.info(f"正在终止 {len(children)} 个子进程。")
|
||||
for child in children:
|
||||
logger.info(f"正在终止子进程 {child.pid}")
|
||||
child.terminate()
|
||||
try:
|
||||
child.wait(timeout=3)
|
||||
except psutil.NoSuchProcess:
|
||||
continue
|
||||
except psutil.TimeoutExpired:
|
||||
logger.info(f"子进程 {child.pid} 没有被正常终止, 正在强行杀死。")
|
||||
child.kill()
|
||||
except psutil.NoSuchProcess:
|
||||
pass
|
||||
|
||||
def _reboot():
|
||||
py = sys.executable
|
||||
terminate_child_processes()
|
||||
os.execl(py, py, *sys.argv)
|
||||
|
||||
def find_repo() -> Repo:
|
||||
@@ -78,11 +104,11 @@ def check_update() -> str:
|
||||
print(f"当前版本: {curr_commit}")
|
||||
print(f"最新版本: {new_commit}")
|
||||
if curr_commit.startswith(new_commit):
|
||||
return "当前已经是最新版本。"
|
||||
return f"当前已经是最新版本: v{VERSION}"
|
||||
else:
|
||||
update_info = f"""有新版本可用。
|
||||
=== 当前版本 ===
|
||||
{curr_commit}
|
||||
v{VERSION}
|
||||
|
||||
=== 新版本 ===
|
||||
{update_data[0]['version']}
|
||||
@@ -111,8 +137,8 @@ def update_project(update_data: list,
|
||||
else:
|
||||
# 更新到最新版本对应的commit
|
||||
try:
|
||||
repo.remotes.origin.fetch()
|
||||
repo.git.checkout(update_data[0]['tag_name'])
|
||||
repo.git.fetch()
|
||||
repo.git.checkout(update_data[0]['tag_name'], "-f")
|
||||
if reboot: _reboot()
|
||||
except BaseException as e:
|
||||
raise e
|
||||
@@ -123,8 +149,8 @@ def update_project(update_data: list,
|
||||
for data in update_data:
|
||||
if data['tag_name'] == version:
|
||||
try:
|
||||
repo.remotes.origin.fetch()
|
||||
repo.git.checkout(data['tag_name'])
|
||||
repo.git.fetch()
|
||||
repo.git.checkout(data['tag_name'], "-f")
|
||||
flag = True
|
||||
if reboot: _reboot()
|
||||
except BaseException as e:
|
||||
@@ -135,9 +161,8 @@ def update_project(update_data: list,
|
||||
def checkout_branch(branch_name: str):
|
||||
repo = find_repo()
|
||||
try:
|
||||
origin = repo.remotes.origin
|
||||
origin.fetch()
|
||||
repo.git.checkout(branch_name)
|
||||
repo.git.fetch()
|
||||
repo.git.checkout(branch_name, "-f")
|
||||
repo.git.pull("origin", branch_name, "-f")
|
||||
return True
|
||||
except BaseException as e:
|
||||
|
||||
Reference in New Issue
Block a user