2024-10-23 13:44:01 +08:00
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import traceback
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from azure.ai.inference.aio import ChatCompletionsClient
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from azure.ai.inference.models import UserMessage, TextContentItem, ImageContentItem, ImageUrl, CompletionsFinishReason
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from melobot import Plugin, send_text
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from melobot.protocols.onebot.v11 import on_start_match
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from melobot.protocols.onebot.v11.adapter.event import MessageEvent
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import traceback
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from azure.core.credentials import AzureKeyCredential
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from .constants import *
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2024-10-23 17:07:34 +08:00
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from .config import Config
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2024-10-23 13:44:01 +08:00
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from .util import *
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from .models import MarshoContext
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2024-10-23 17:07:34 +08:00
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config = Config()
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model_name = config.marshoai_default_model
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2024-10-23 13:44:01 +08:00
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context = MarshoContext()
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2024-10-23 17:07:34 +08:00
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token = config.marshoai_token
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endpoint = config.marshoai_azure_endpoint
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2024-10-23 13:44:01 +08:00
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client = ChatCompletionsClient(
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endpoint=endpoint,
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credential=AzureKeyCredential(token)
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)
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@on_start_match(".sayhi")
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async def echo_hi() -> None:
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await send_text("Hello, melobot!")
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@on_start_match("reset")
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async def reset(event: MessageEvent):
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context.reset(event.user_id, event.is_private)
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await send_text("上下文已重置")
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@on_start_match("marsho")
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async def marsho(event: MessageEvent):
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if event.text.lstrip("marsho") == "":
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await send_text(INTRODUCTION)
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return
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# await UniMessage(str(text)).send()
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try:
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is_support_image_model = model_name.lower() in SUPPORT_IMAGE_MODELS
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usermsg = [] if is_support_image_model else ""
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user_id = event.sender.user_id
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nickname_prompt = ""
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marsho_string_removed = False
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for i in event.get_segments("image"):
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if is_support_image_model:
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imgurl = str(i.data["url"])
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picmsg = ImageContentItem(
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image_url=ImageUrl(url=str(await get_image_b64(imgurl)))
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)
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usermsg.append(picmsg)
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else:
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await send_text("*此模型不支持图片处理。")
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for i in event.get_segments("text"):
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if not marsho_string_removed:
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# 去掉最前面的"marsho "字符串
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clean_text = i.data["text"].lstrip("marsho ")
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marsho_string_removed = True # 标记文本已处理
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else:
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clean_text = i.data["text"]
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if is_support_image_model:
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usermsg.append(TextContentItem(text=clean_text+nickname_prompt))
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else:
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usermsg += str(clean_text+nickname_prompt)
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response = await make_chat(
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client=client,
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model_name=model_name,
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msg=context.build(event.user_id, event.is_private)+[UserMessage(content=usermsg)])
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choice = response.choices[0]
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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
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context.append(UserMessage(content=usermsg).as_dict(), event.user_id, event.is_private)
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context.append(choice.message.as_dict(), event.user_id, event.is_private)
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elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
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await send_text("*已被内容过滤器过滤。请调整聊天内容后重试。")
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return
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await send_text(str(choice.message.content))
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except Exception as e:
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await send_text(str(e)+suggest_solution(str(e)))
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traceback.print_exc()
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return
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class MarshoAI(Plugin):
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version = "0.1"
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flows = [echo_hi,marsho,reset]
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