Soulter
130 lines
5.3 KiB
Python
130 lines
5.3 KiB
Python
import asyncio
|
|
import traceback
|
|
from astrbot.message.handler import MessageHandler
|
|
from astrbot.persist.helper import dbConn
|
|
from dashboard.server import AstrBotDashBoard
|
|
from model.provider.provider import Provider
|
|
from model.command.manager import CommandManager
|
|
from model.command.internal_handler import InternalCommandHandler
|
|
from model.plugin.manager import PluginManager
|
|
from model.platform.manager import PlatformManager
|
|
from typing import Dict, List, Union
|
|
from type.types import Context
|
|
from type.config import VERSION
|
|
from SparkleLogging.utils.core import LogManager
|
|
from logging import Logger
|
|
from util.cmd_config import AstrBotConfig
|
|
from util.metrics import MetricUploader
|
|
from util.config_utils import *
|
|
from util.updator.astrbot_updator import AstrBotUpdator
|
|
|
|
logger: Logger = LogManager.GetLogger(log_name='astrbot')
|
|
|
|
|
|
class AstrBotBootstrap():
|
|
def __init__(self) -> None:
|
|
self.context = Context()
|
|
|
|
# load configs and ensure the backward compatibility
|
|
try_migrate_config()
|
|
self.config_helper = AstrBotConfig()
|
|
self.context.config_helper = self.config_helper
|
|
logger.info("AstrBot v" + VERSION)
|
|
# apply proxy settings
|
|
http_proxy = self.context.config_helper.http_proxy
|
|
https_proxy = self.context.config_helper.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'
|
|
|
|
if http_proxy and https_proxy:
|
|
logger.info(f"使用代理: {http_proxy}, {https_proxy}")
|
|
else:
|
|
logger.info("未使用代理。")
|
|
|
|
self.test_mode = os.environ.get('TEST_MODE', 'off') == 'on'
|
|
|
|
async def run(self):
|
|
self.command_manager = CommandManager()
|
|
self.plugin_manager = PluginManager(self.context)
|
|
self.updator = AstrBotUpdator()
|
|
self.cmd_handler = InternalCommandHandler(self.command_manager, self.plugin_manager)
|
|
self.db_conn_helper = dbConn()
|
|
|
|
# load llm provider
|
|
self.load_llm()
|
|
|
|
self.message_handler = MessageHandler(self.context, self.command_manager, self.db_conn_helper)
|
|
self.platfrom_manager = PlatformManager(self.context, self.message_handler)
|
|
self.dashboard = AstrBotDashBoard(self.context, plugin_manager=self.plugin_manager, astrbot_updator=self.updator)
|
|
self.metrics_uploader = MetricUploader(self.context)
|
|
|
|
self.context.metrics_uploader = self.metrics_uploader
|
|
self.context.updator = self.updator
|
|
self.context.plugin_updator = self.plugin_manager.updator
|
|
self.context.message_handler = self.message_handler
|
|
self.context.command_manager = self.command_manager
|
|
|
|
if self.test_mode:
|
|
return
|
|
|
|
# load plugins, plugins' commands.
|
|
self.load_plugins()
|
|
self.command_manager.register_from_pcb(self.context.plugin_command_bridge)
|
|
|
|
# load platforms
|
|
platform_tasks = self.load_platform()
|
|
# load metrics uploader
|
|
metrics_upload_task = asyncio.create_task(self.metrics_uploader.upload_metrics(), name="metrics-uploader")
|
|
# load dashboard
|
|
self.dashboard.run_http_server()
|
|
dashboard_task = asyncio.create_task(self.dashboard.ws_server(), name="dashboard")
|
|
tasks = [metrics_upload_task, dashboard_task, *platform_tasks, *self.context.ext_tasks]
|
|
tasks = [self.handle_task(task) for task in tasks]
|
|
await asyncio.gather(*tasks)
|
|
|
|
async def handle_task(self, task: Union[asyncio.Task, asyncio.Future]):
|
|
while True:
|
|
try:
|
|
result = await task
|
|
return result
|
|
except asyncio.CancelledError:
|
|
logger.info(f"{task.get_name()} 任务已取消。")
|
|
return
|
|
except Exception as e:
|
|
logger.error(traceback.format_exc())
|
|
logger.error(f"{task.get_name()} 任务发生错误。")
|
|
return
|
|
|
|
def load_llm(self):
|
|
f = False
|
|
llms = self.context.config_helper.llm
|
|
logger.info(f"加载 {len(llms)} 个 LLM Provider...")
|
|
for llm in llms:
|
|
if llm.enable:
|
|
if llm.name == "openai" and llm.key and llm.enable:
|
|
self.load_openai(llm)
|
|
f = True
|
|
logger.info(f"已启用 OpenAI API 支持。")
|
|
else:
|
|
logger.warn(f"未知的 LLM Provider: {llm.name}")
|
|
if f:
|
|
from model.command.openai_official_handler import OpenAIOfficialCommandHandler
|
|
self.openai_command_handler = OpenAIOfficialCommandHandler(self.command_manager)
|
|
self.openai_command_handler.set_provider(self.context.llms[0].llm_instance)
|
|
|
|
def load_openai(self, llm_config):
|
|
from model.provider.openai_official import ProviderOpenAIOfficial
|
|
inst = ProviderOpenAIOfficial(llm_config)
|
|
self.context.register_provider("internal_openai", inst)
|
|
|
|
def load_plugins(self):
|
|
self.plugin_manager.plugin_reload()
|
|
|
|
def load_platform(self):
|
|
platforms = self.platfrom_manager.load_platforms()
|
|
if not platforms:
|
|
logger.warn("未启用任何消息平台。")
|
|
return platforms |