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
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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
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from .util import *
import traceback
import contextlib
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from azure.ai.inference.aio import ChatCompletionsClient
from azure.ai.inference.models import (
UserMessage,
AssistantMessage,
ContentItem,
TextContentItem,
ImageContentItem,
ImageUrl,
CompletionsFinishReason,
)
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from azure.core.credentials import AzureKeyCredential
from typing import Any, Optional
from .metadata import metadata
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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(
config.marshoai_default_name,
Args["text?", AllParam],
),
aliases=config.marshoai_aliases,
)
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():
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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
)
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await add_assistantmsg_cmd.finish("已添加助手消息")
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@praises_cmd.handle()
async def praises():
await praises_cmd.finish(build_praises())
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@contexts_cmd.handle()
async def contexts(target: MsgTarget):
await contexts_cmd.finish(str(context.build(target.id, target.private)[1:]))
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@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")
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@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
)
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await load_context_cmd.finish("已加载并覆盖上下文")
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@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()):
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global model_name
if model := arg.extract_plain_text():
model_name = model
await changemodel_cmd.finish("已切换")
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@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(metadata.usage + "\n当前使用的模型:" + model_name).send()
await marsho_cmd.finish(INTRODUCTION)
return
try:
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 = ""
if config.marshoai_enable_nickname_tip:
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()
usermsg: list[ContentItem] = []
for i in text:
if i.type == "text":
usermsg += [TextContentItem(text=i.data["text"] + nickname_prompt)]
elif i.type == "image" and model_name.lower() in SUPPORT_IMAGE_MODELS:
usermsg.append(
ImageContentItem(
image_url=ImageUrl(url=str(await get_image_b64(i.data["url"])))
)
)
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
)
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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 # type: ignore
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, "")
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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()
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traceback.print_exc()
return