✨ 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

.gitignore

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

.vscode/settings.json

@@ -0,0 +1,7 @@
+{
+    "python.testing.pytestArgs": [
+        "."
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true
+}

nonebot_plugin_marshoai/__init__.py

@@ -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()
 
 

nonebot_plugin_marshoai/azure.py

@@ -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,

nonebot_plugin_marshoai/azure_onebot.py

@@ -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())

nonebot_plugin_marshoai/metadata.py

@@ -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"},
+)

nonebot_plugin_marshoai/util.py

@@ -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"}
+                {
+                    "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:
+        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():

pyproject.toml

@@ -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"