💾v0.1.4，将夸赞名单改为存储至单独的数据目录而非工作目录

README.md

@@ -93,7 +93,7 @@ _✨ 使用 Azure OpenAI 推理服务的聊天机器人插件 ✨_
 发送`marsho`指令可以获取使用说明
 
 ## 👍 夸赞名单
-夸赞名单存储于 Bot 工作目录的`praises.json`下，当配置项为`true`时发起一次聊天后自动生成，包含人物名字与人物优点两个基本数据。  
+夸赞名单存储于插件数据目录下的`praises.json`里（该目录路径会在 Bot 启动时输出到日志），当配置项为`true`时发起一次聊天后自动生成，包含人物名字与人物优点两个基本数据。  
 存储于其中的人物会被 Marsho “认识”和“喜欢”。  
 其结构类似于：
 ```json

nonebot_plugin_marshoai/__init__.py

@@ -1,8 +1,10 @@
 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
-from .config import ConfigModel
+from nonebot import get_driver, logger
+from .config import ConfigModel, config
+import nonebot_plugin_localstore as store
 usage = """MarshoAI Alpha by Asankilp
 用法：
   marsho <聊天内容> : 与 Marsho 进行对话。当模型为 GPT-4o(-mini) 等时，可以带上图片进行对话。
@@ -33,5 +35,10 @@ driver = get_driver()
 
 @driver.on_startup
 async def _():
-    pass
+    logger.info("MarshoAI 已经加载~🐾")
+    logger.info(f"Marsho 的插件数据存储于 : {str(store.get_plugin_data_dir())} 哦~🐾")
+    if config.marshoai_token == "":
+        logger.warning("token 未配置。可能无法进行聊天。")
+    else:
+        logger.info("token 已配置~！🐾")
 

nonebot_plugin_marshoai/util.py

@@ -3,6 +3,7 @@ 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
@@ -28,16 +29,16 @@ async def get_image_b64(url):
             return None
         
 def get_praises():
-    filename = "praises.json"
-    if not os.path.exists("praises.json"):
+    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(filename,"w",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(filename,"r",encoding="utf-8") as f:
+    with open(praises_file,"r",encoding="utf-8") as f:
         data = json.load(f)
     return data
 
@@ -63,19 +64,17 @@ def get_prompt():
     spell = SystemMessage(content=marsho_prompt+prompts)
     return spell
 
-def suggest_solution(errinfo: str):
-    suggestion = ""
-    if "content_filter" in errinfo:
-        suggestion = "消息已被内容过滤器过滤。请调整聊天内容后重试。"
-    elif "RateLimitReached" in errinfo:
-        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。"
-    elif "tokens_limit_reached" in errinfo:
-        suggestion = "请求token达到上限。请重置上下文。"
-    elif "content_length_limit" in errinfo:
-        suggestion = "请求体过大。请重置上下文。"
-    elif "unauthorized" in errinfo:
-        suggestion = "Azure凭据无效。请联系Bot管理员。"
-    if suggestion != "":
-        return "\n"+suggestion
-    else:
-        return suggestion
+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 ""

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "nonebot-plugin-marshoai"
-version = "0.1.3"
+version = "0.1.4"
 description = "Nonebot2插件，调用Azure OpenAI服务实现猫娘聊天"
 readme = "README.md"
 requires-python = "<4.0,>=3.9"
@@ -8,6 +8,7 @@ authors = [{ name = "Asankilp", email = "asankilp@outlook.com" }]
 dependencies = [
     "nonebot2>=2.2.0",
     "nonebot-plugin-alconna>=0.48.0",
+    "nonebot-plugin-localstore>=0.7.1",
     "azure-ai-inference>=1.0.0b4",
     "zhDatetime>=1.1.1",
     "aiohttp>=3.9",