nonebot-plugin-marshoai/nonebot_plugin_marshoai/util.py

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import base64
import mimetypes
import os
import json
import httpx
import nonebot_plugin_localstore as store
from datetime import datetime
from zhDateTime import DateTime
from azure.ai.inference.models import SystemMessage
from .config import config
async def get_image_b64(url):
headers = {
'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'
}
async with httpx.AsyncClient() as client:
response = await client.get(url, headers=headers)
if response.status_code == 200:
# 获取图片数据
image_data = response.content
content_type = response.headers.get('Content-Type')
if not content_type:
content_type = mimetypes.guess_type(url)[0]
image_format = content_type.split('/')[1] if content_type else 'jpeg'
base64_image = base64.b64encode(image_data).decode('utf-8')
data_url = f"data:{content_type};base64,{base64_image}"
return data_url
else:
return None
def get_praises():
praises_file = store.get_plugin_data_file("praises.json") # 夸赞名单文件使用localstore存储
if not os.path.exists(praises_file):
init_data = {
"like": [
{"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"}
]
}
with open(praises_file,"w",encoding="utf-8") as f:
json.dump(init_data,f,ensure_ascii=False,indent=4)
with open(praises_file,"r",encoding="utf-8") as f:
data = json.load(f)
return data
def build_praises():
praises = get_praises()
result = ["你喜欢以下几个人物,他们有各自的优点:"]
for item in praises["like"]:
result.append(f"名字:{item['name']},优点:{item['advantages']}")
return "\n".join(result)
def get_prompt():
prompts = ""
prompts += config.marshoai_additional_prompt
if config.marshoai_enable_praises:
praises_prompt = build_praises()
prompts += praises_prompt
if config.marshoai_enable_time_prompt:
current_time = datetime.now().strftime('%Y.%m.%d %H:%M:%S')
current_lunar_date = DateTime.now().to_lunar().date_hanzify()[5:] #库更新之前使用切片
time_prompt = f"现在的时间是{current_time},农历{current_lunar_date}"
prompts += time_prompt
marsho_prompt = config.marshoai_prompt
spell = SystemMessage(content=marsho_prompt+prompts)
return spell
def suggest_solution(errinfo: str) -> str:
suggestions = {
"content_filter": "消息已被内容过滤器过滤。请调整聊天内容后重试。",
"RateLimitReached": "模型达到调用速率限制。请稍等一段时间或联系Bot管理员。",
"tokens_limit_reached": "请求token达到上限。请重置上下文。",
"content_length_limit": "请求体过大。请重置上下文。",
"unauthorized": "Azure凭据无效。请联系Bot管理员。"
}
for key, suggestion in suggestions.items():
if key in errinfo:
return f"\n{suggestion}"
return ""