nonebot-plugin-marshoai/nonebot_plugin_marshoai/azure.py

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from nonebot import on_command
from nonebot.adapters import Message, Event
from nonebot.params import CommandArg
from nonebot.permission import SUPERUSER
from nonebot_plugin_alconna import on_alconna, MsgTarget
from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
from arclet.alconna import Alconna, Args, AllParam
from .util import *
import traceback
import contextlib
from azure.ai.inference.aio import ChatCompletionsClient
from azure.ai.inference.models import UserMessage, AssistantMessage, TextContentItem, ImageContentItem, ImageUrl, CompletionsFinishReason
from azure.core.credentials import AzureKeyCredential
from typing import Optional
from .__init__ import __plugin_meta__
from .config import config
from .models import MarshoContext
from .constants import *
changemodel_cmd = on_command("changemodel",permission=SUPERUSER)
resetmem_cmd = on_command("reset")
#setprompt_cmd = on_command("prompt",permission=SUPERUSER)
praises_cmd = on_command("praises",permission=SUPERUSER)
add_usermsg_cmd = on_command("usermsg",permission=SUPERUSER)
add_assistantmsg_cmd = on_command("assistantmsg",permission=SUPERUSER)
contexts_cmd = on_command("contexts",permission=SUPERUSER)
save_context_cmd = on_command("savecontext",permission=SUPERUSER)
load_context_cmd = on_command("loadcontext",permission=SUPERUSER)
marsho_cmd = on_alconna(
Alconna(
"marsho",
Args["text?",AllParam],
)
)
nickname_cmd = on_alconna(
Alconna(
"nickname",
Args["name?",str],
)
)
model_name = config.marshoai_default_model
context = MarshoContext()
token = config.marshoai_token
endpoint = config.marshoai_azure_endpoint
client = ChatCompletionsClient(
endpoint=endpoint,
credential=AzureKeyCredential(token)
)
@add_usermsg_cmd.handle()
async def add_usermsg(target: MsgTarget, arg: Message = CommandArg()):
if msg := arg.extract_plain_text():
context.append(UserMessage(content=msg).as_dict(), target.id, target.private)
await add_usermsg_cmd.finish("已添加用户消息")
@add_assistantmsg_cmd.handle()
async def add_assistantmsg(target: MsgTarget, arg: Message = CommandArg()):
if msg := arg.extract_plain_text():
context.append(AssistantMessage(content=msg).as_dict(), target.id, target.private)
await add_assistantmsg_cmd.finish("已添加助手消息")
@praises_cmd.handle()
async def praises():
await praises_cmd.finish(build_praises())
@contexts_cmd.handle()
async def contexts(target: MsgTarget):
await contexts_cmd.finish(str(context.build(target.id, target.private)[1:]))
@save_context_cmd.handle()
async def save_context(target: MsgTarget, arg: Message = CommandArg()):
contexts = context.build(target.id, target.private)[1:]
if msg := arg.extract_plain_text():
await save_context_to_json(msg, contexts)
await save_context_cmd.finish("已保存上下文")
@load_context_cmd.handle()
async def load_context(target: MsgTarget, arg: Message = CommandArg()):
if msg := arg.extract_plain_text():
context.set_context(await load_context_from_json(msg), target.id, target.private)
await load_context_cmd.finish("已加载并覆盖上下文")
@resetmem_cmd.handle()
async def resetmem(target: MsgTarget):
context.reset(target.id, target.private)
await resetmem_cmd.finish("上下文已重置")
@changemodel_cmd.handle()
async def changemodel(arg : Message = CommandArg()):
global model_name
if model := arg.extract_plain_text():
model_name = model
await changemodel_cmd.finish("已切换")
@nickname_cmd.handle()
async def nickname(
event: Event,
name = None
):
nicknames = await get_nicknames()
user_id = event.get_user_id()
if not name:
await nickname_cmd.finish("你的昵称为:"+str(nicknames[user_id]))
if name == "reset":
await set_nickname(user_id, "")
await nickname_cmd.finish("已重置昵称")
else:
await set_nickname(user_id, name)
await nickname_cmd.finish("已设置昵称为:"+name)
@marsho_cmd.handle()
async def marsho(
target: MsgTarget,
event: Event,
text: Optional[UniMsg] = None
):
if not text:
await UniMessage(
__plugin_meta__.usage+"\n当前使用的模型:"+model_name).send()
await marsho_cmd.finish(INTRODUCTION)
return
try:
is_support_image_model = model_name.lower() in SUPPORT_IMAGE_MODELS
usermsg = [] if is_support_image_model else ""
user_id = event.get_user_id()
nicknames = await get_nicknames()
nickname = nicknames.get(user_id, "")
if nickname != "":
nickname_prompt = f"\n*此消息的说话者:{nickname}*"
else:
nickname_prompt = ""
await UniMessage("*你未设置自己的昵称。推荐使用'nickname [昵称]'命令设置昵称来获得个性化(可能)回答。").send()
for i in text:
if i.type == "image":
if is_support_image_model:
imgurl = i.data["url"]
picmsg = ImageContentItem(
image_url=ImageUrl(url=str(await get_image_b64(imgurl)))
)
usermsg.append(picmsg)
else:
await UniMessage("*此模型不支持图片处理。").send()
elif i.type == "text":
clean_text = i.data["text"]
if is_support_image_model:
usermsg.append(TextContentItem(text=clean_text+nickname_prompt))
else:
usermsg += str(clean_text+nickname_prompt)
response = await make_chat(
client=client,
model_name=model_name,
msg=context.build(target.id, target.private)+[UserMessage(content=usermsg)])
#await UniMessage(str(response)).send()
choice = response.choices[0]
if choice["finish_reason"] == CompletionsFinishReason.STOPPED: # 当对话成功时将dict的上下文添加到上下文类中
context.append(UserMessage(content=usermsg).as_dict(), target.id, target.private)
context.append(choice.message.as_dict(), target.id, target.private)
elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
await UniMessage("*已被内容过滤器过滤。请调整聊天内容后重试。").send(reply_to=True)
return
await UniMessage(str(choice.message.content)).send(reply_to=True)
except Exception as e:
await UniMessage(str(e)+suggest_solution(str(e))).send()
traceback.print_exc()
return
with contextlib.suppress(ImportError): #优化先不做()
import nonebot.adapters.onebot.v11
from .azure_onebot import poke_notify
@poke_notify.handle()
async def poke(
event: Event,
target: MsgTarget
):
user_id = event.get_user_id()
nicknames = await get_nicknames()
nickname = nicknames.get(user_id, "")
try:
if config.marshoai_poke_suffix != "":
response = await make_chat(
client=client,
model_name=model_name,
msg=[get_prompt(),UserMessage(content=f"*{nickname}{config.marshoai_poke_suffix}")]
)
choice = response.choices[0]
if choice["finish_reason"] == CompletionsFinishReason.STOPPED:
await UniMessage(" "+str(choice.message.content)).send(at_sender=True)
except Exception as e:
await UniMessage(str(e)+suggest_solution(str(e))).send()
traceback.print_exc()
return