mirror of
https://github.com/LiteyukiStudio/nonebot-plugin-marshoai.git
synced 2024-11-23 21:41:07 +08:00
77 lines
3.0 KiB
Python
77 lines
3.0 KiB
Python
import base64
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import mimetypes
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import os
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import json
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import httpx
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from datetime import datetime
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from zhDateTime import DateTime
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from azure.ai.inference.models import SystemMessage
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from .config import config
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async def get_image_b64(url):
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headers = {
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'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'
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}
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async with httpx.AsyncClient() as client:
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response = await client.get(url, headers=headers)
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if response.status_code == 200:
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# 获取图片数据
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image_data = response.content
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content_type = response.headers.get('Content-Type')
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if not content_type:
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content_type = mimetypes.guess_type(url)[0]
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image_format = content_type.split('/')[1] if content_type else 'jpeg'
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base64_image = base64.b64encode(image_data).decode('utf-8')
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data_url = f"data:{content_type};base64,{base64_image}"
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return data_url
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else:
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return None
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def get_praises():
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filename = "praises.json"
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if not os.path.exists("praises.json"):
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init_data = {
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"like": [
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{"name":"Asankilp","advantages":"赋予了Marsho猫娘人格，使用vim与vscode为Marsho写了许多代码，使Marsho更加可爱"}
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]
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}
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with open(filename,"w",encoding="utf-8") as f:
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json.dump(init_data,f,ensure_ascii=False,indent=4)
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with open(filename,"r",encoding="utf-8") as f:
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data = json.load(f)
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return data
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def build_praises():
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praises = get_praises()
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result = ["你喜欢以下几个人物，他们有各自的优点："]
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for item in praises["like"]:
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result.append(f"名字：{item['name']}，优点：{item['advantages']}")
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return "\n".join(result)
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def get_prompt():
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prompts = ""
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prompts += config.marshoai_additional_prompt
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current_time = datetime.now().strftime('%Y.%m.%d %H:%M:%S')
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current_lunar_date = DateTime.now().to_lunar().date_hanzify()[5:]#库更新之前使用切片
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if config.marshoai_enable_praises:
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praises_prompt = build_praises()
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prompts += praises_prompt
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if config.marshoai_enable_time_prompt:
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time_prompt = f"现在的时间是{current_time}，农历{current_lunar_date}。"
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prompts += time_prompt
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marsho_prompt = config.marshoai_prompt
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spell = SystemMessage(content=marsho_prompt+prompts)
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return spell
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def suggest_solution(errinfo: str):
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suggestion = ""
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if "content_filter" in errinfo:
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suggestion = "消息已被内容过滤器过滤。请调整聊天内容后重试。"
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elif "RateLimitReached" in errinfo:
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suggestion = "模型达到调用速率限制。请稍等一段时间或联系Bot管理员。"
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elif "tokens_limit_reached" in errinfo:
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suggestion = "请求token达到上限。请重置上下文。"
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if suggestion != "":
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return "\n"+suggestion
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else:
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return suggestion |