添加Marsho AI插件,整合Azure服务,更新配置和元数据,修复startup加载两次的问题

This commit is contained in:
远野千束 2024-11-05 20:22:06 +08:00
parent 9dc5951079
commit 8ac81e358f
8 changed files with 97 additions and 67 deletions

3
.gitignore vendored
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@ -3,6 +3,9 @@ __pycache__/
*.py[cod]
*$py.class
#nonebot dev
.env
# C extensions
*.so

7
.vscode/settings.json vendored Normal file
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@ -0,0 +1,7 @@
{
"python.testing.pytestArgs": [
"."
],
"python.testing.unittestEnabled": false,
"python.testing.pytestEnabled": true
}

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@ -1,23 +1,15 @@
from nonebot.plugin import PluginMetadata, inherit_supported_adapters, require
require("nonebot_plugin_alconna")
require("nonebot_plugin_localstore")
from .azure import *
from nonebot import get_driver, logger
from .config import ConfigModel, config
from .constants import USAGE
from .config import config
from .metadata import metadata
import nonebot_plugin_localstore as store
__author__ = "Asankilp"
__plugin_meta__ = PluginMetadata(
name="Marsho AI插件",
description="接入Azure服务的AI聊天插件",
usage=USAGE,
type="application",
config=ConfigModel,
homepage="https://github.com/LiteyukiStudio/nonebot-plugin-marshoai",
supported_adapters=inherit_supported_adapters("nonebot_plugin_alconna"),
extra={"License":"MIT","Author":"Asankilp"}
)
__plugin_meta__ = metadata
driver = get_driver()

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@ -12,14 +12,16 @@ from azure.ai.inference.aio import ChatCompletionsClient
from azure.ai.inference.models import (
UserMessage,
AssistantMessage,
ContentItem,
TextContentItem,
ImageContentItem,
ImageUrl,
CompletionsFinishReason,
)
from azure.core.credentials import AzureKeyCredential
from typing import Optional
from .__init__ import __plugin_meta__
from typing import Any, Optional
from .metadata import metadata
from .config import config
from .models import MarshoContext
from .constants import *
@ -126,15 +128,12 @@ async def nickname(event: Event, name=None):
@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 UniMessage(metadata.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, "")
@ -146,22 +145,18 @@ async def marsho(target: MsgTarget, event: Event, text: Optional[UniMsg] = None)
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 == "image":
if is_support_image_model:
imgurl = i.data["url"]
picmsg = ImageContentItem(
image_url=ImageUrl(url=str(await get_image_b64(imgurl)))
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"])))
)
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,

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@ -1,8 +1,5 @@
from nonebot import on_type
from nonebot.rule import to_me
from nonebot.adapters.onebot.v11 import PokeNotifyEvent
poke_notify = on_type(
(PokeNotifyEvent,),
rule=to_me()
)
from nonebot.adapters.onebot.v11 import PokeNotifyEvent # type: ignore
poke_notify = on_type((PokeNotifyEvent,), rule=to_me())

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@ -0,0 +1,14 @@
from nonebot.plugin import PluginMetadata, inherit_supported_adapters
from .config import ConfigModel, config
from .constants import USAGE
metadata = PluginMetadata(
name="Marsho AI插件",
description="接入Azure服务的AI聊天插件",
usage=USAGE,
type="application",
config=ConfigModel,
homepage="https://github.com/LiteyukiStudio/nonebot-plugin-marshoai",
supported_adapters=inherit_supported_adapters("nonebot_plugin_alconna"),
extra={"License": "MIT", "Author": "Asankilp"},
)

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@ -2,16 +2,19 @@ import base64
import mimetypes
import os
import json
from typing import Any
import httpx
import nonebot_plugin_localstore as store
from datetime import datetime
from zhDateTime import DateTime
from zhDateTime import DateTime # type: ignore
from azure.ai.inference.aio import ChatCompletionsClient
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'
"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:
@ -19,38 +22,47 @@ async def get_image_b64(url):
if response.status_code == 200:
# 获取图片数据
image_data = response.content
content_type = response.headers.get('Content-Type')
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')
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
async def make_chat(client: ChatCompletionsClient, msg, model_name: str):
return await client.complete(
messages=msg,
model=model_name,
temperature=config.marshoai_temperature,
max_tokens=config.marshoai_max_tokens,
top_p=config.marshoai_top_p
top_p=config.marshoai_top_p,
)
def get_praises():
praises_file = store.get_plugin_data_file("praises.json") # 夸赞名单文件使用localstore存储
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:
{
"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:"]
@ -58,41 +70,47 @@ def build_praises():
result.append(f"名字:{item['name']},优点:{item['advantages']}")
return "\n".join(result)
async def save_context_to_json(name: str, context: str):
async def save_context_to_json(name: str, context: Any):
context_dir = store.get_plugin_data_dir() / "contexts"
os.makedirs(context_dir, exist_ok=True)
file_path = os.path.join(context_dir, f"{name}.json")
with open(file_path, 'w', encoding='utf-8') as json_file:
with open(file_path, "w", encoding="utf-8") as json_file:
json.dump(context, json_file, ensure_ascii=False, indent=4)
async def load_context_from_json(name: str):
context_dir = store.get_plugin_data_dir() / "contexts"
os.makedirs(context_dir, exist_ok=True)
file_path = os.path.join(context_dir, f"{name}.json")
try:
with open(file_path, 'r', encoding='utf-8') as json_file:
with open(file_path, "r", encoding="utf-8") as json_file:
return json.load(json_file)
except FileNotFoundError:
return []
async def set_nickname(user_id: str, name: str):
filename = store.get_plugin_data_file("nickname.json")
if not os.path.exists(filename):
data = {}
else:
with open(filename,'r', encoding='utf-8') as f:
with open(filename, "r", encoding="utf-8") as f:
data = json.load(f)
data[user_id] = name
with open(filename, 'w', encoding='utf-8') as f:
with open(filename, "w", encoding="utf-8") as f:
json.dump(data, f, ensure_ascii=False, indent=4)
async def get_nicknames():
filename = store.get_plugin_data_file("nickname.json")
try:
with open(filename, 'r', encoding='utf-8') as f:
with open(filename, "r", encoding="utf-8") as f:
return json.load(f)
except FileNotFoundError:
return {}
def get_prompt():
prompts = ""
prompts += config.marshoai_additional_prompt
@ -100,14 +118,17 @@ def get_prompt():
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
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).as_dict()
spell = SystemMessage(content=marsho_prompt + prompts).as_dict()
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。",
@ -116,7 +137,7 @@ def suggest_solution(errinfo: str) -> str:
"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。",
"invalid type: parameter messages.content is of type array but should be of type string.": "聊天请求体包含此模型不支持的数据类型。请重置上下文。",
"At most 1 image(s) may be provided in one request.": "此模型只能在上下文中包含1张图片。如果此前的聊天已经发送过图片请重置上下文。"
"At most 1 image(s) may be provided in one request.": "此模型只能在上下文中包含1张图片。如果此前的聊天已经发送过图片请重置上下文。",
}
for key, suggestion in suggestions.items():

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@ -12,7 +12,7 @@ dependencies = [
"azure-ai-inference>=1.0.0b4",
"zhDatetime>=1.1.1",
"aiohttp>=3.9",
"httpx>=0.27.0"
"httpx>=0.27.0",
]
license = { text = "MIT" }
@ -22,6 +22,9 @@ Homepage = "https://github.com/LiteyukiStudio/nonebot-plugin-marshoai"
[tool.nonebot]
plugins = ["nonebot_plugin_marshoai"]
adapters = [
{ name = "OneBot V11", module_name = "nonebot.adapters.onebot.v11" },
]
[tool.pdm]
distribution = true
@ -34,9 +37,7 @@ path = "nonebot_plugin_marshoai/constants.py"
includes = []
[tool.pdm.dev-dependencies]
dev = [
"nb-cli>=1.4.2",
]
dev = ["nb-cli>=1.4.2"]
[build-system]
requires = ["pdm-backend"]
build-backend = "pdm.backend"