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23 changed files with 397 additions and 598 deletions

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@@ -1,18 +1,26 @@
name: Deploy VitePress site to Liteyuki PaaS
# 构建 VitePress 站点并将其部署到 GitHub Pages 的示例工作流程
#
name: Deploy VitePress site to Pages
on: ["push", "pull_request_target"]
on:
# 在针对 `main` 分支的推送上运行。如果你
# 使用 `master` 分支作为默认分支,请将其更改为 `master`
push:
branches: [main]
# 允许你从 Actions 选项卡手动运行此工作流程
workflow_dispatch:
# 设置 GITHUB_TOKEN 的权限,以允许部署到 GitHub Pages
permissions:
contents: write
statuses: write
# 只允许同时进行一次部署,跳过正在运行和最新队列之间的运行队列
# 但是,不要取消正在进行的运行,因为我们希望允许这些生产部署完成
concurrency:
group: pages
cancel-in-progress: false
env:
MELI_SITE: f31e3b17-c4ea-4d9d-bdce-9417d67fd30e
jobs:
# 构建工作
build:
@@ -22,10 +30,12 @@ jobs:
uses: actions/checkout@v4
with:
fetch-depth: 0 # 如果未启用 lastUpdated则不需要
# - uses: pnpm/action-setup@v3 # 如果使用 pnpm请取消注释
# - uses: oven-sh/setup-bun@v1 # 如果使用 Bun请取消注释
- name: Setup Python
uses: actions/setup-python@v2
with:
python-version: "3.11"
python-version: '3.11'
- name: Setup API markdown
run: |-
@@ -49,13 +59,9 @@ jobs:
run: |-
pnpm run docs:build
- name: "发布"
run: |
npx -p "@getmeli/cli" meli upload docs/.vitepress/dist \
--url "https://pages.liteyuki.icu" \
--site "$MELI_SITE" \
--token "$MELI_TOKEN" \
--release "$GITHUB_SHA"
env:
MELI_TOKEN: ${{ secrets.MELI_TOKEN }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: 部署文档
uses: JamesIves/github-pages-deploy-action@v4
with:
# 这是文档部署到的分支名称
branch: docs
folder: docs/.vitepress/dist

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@@ -15,7 +15,7 @@ repos:
args: [--config=./pyproject.toml]
- repo: https://github.com/PyCQA/isort
rev: 6.0.1
rev: 6.0.0
hooks:
- id: isort
args: ["--profile", "black"]

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@@ -10,7 +10,7 @@
_✨ 使用 OpenAI 标准格式 API 的聊天机器人插件 ✨_
[![QQ群](https://img.shields.io/badge/QQ群-1029557452-blue.svg?logo=QQ&style=flat-square)](https://qm.qq.com/q/a13iwP5kAw)
[![QQ群](https://img.shields.io/badge/QQ群-1029557452-blue.svg?logo=QQ)](https://qm.qq.com/q/a13iwP5kAw)
[![NoneBot Registry](https://img.shields.io/endpoint?url=https%3A%2F%2Fnbbdg.lgc2333.top%2Fplugin%2Fnonebot-plugin-marshoai&style=flat-square)](https://registry.nonebot.dev/plugin/nonebot-plugin-marshoai:nonebot_plugin_marshoai)
<a href="https://registry.nonebot.dev/plugin/nonebot-plugin-marshoai:nonebot_plugin_marshoai">
<img src="https://img.shields.io/endpoint?url=https%3A%2F%2Fnbbdg.lgc2333.top%2Fplugin-adapters%2Fnonebot-plugin-marshoai&style=flat-square" alt="Supported Adapters">
@@ -22,21 +22,20 @@ _✨ 使用 OpenAI 标准格式 API 的聊天机器人插件 ✨_
<img src="https://img.shields.io/badge/Code%20Style-Black-121110.svg?style=flat-square" alt="codestyle">
</div>
<img width="100%" src="https://starify.komoridevs.icu/api/starify?owner=LiteyukiStudio&repo=nonebot-plugin-marshoai" alt="starify" />
## 📖 介绍
通过调用 OpenAI 标准格式 API例如 GitHub Models API来实现聊天的插件。
插件内置了猫娘小棉Marsho,マルショ)的人物设定,可以进行可爱的聊天!
通过调用 OpenAI 标准格式 API(例如 GitHub Models API) 来实现聊天的插件。
插件内置了猫娘小棉(Marsho)的人物设定,可以进行可爱的聊天!
_谁不喜欢回复消息快又可爱的猫娘呢_
**对 OneBot 以外的适配器与非 GitHub Models API 的支持未完全经过验证。**
**对 OneBot 以外的适配器与非 GitHub Models API 的支持未经过完全验证。**
[Melobot 实现](https://github.com/LiteyukiStudio/marshoai-melo)
## 🐱 设定
#### 基本信息
- 名字:小棉Marsho,マルショ)
- 名字:小棉(Marsho)
- 生日9 月 6 日
#### 喜好
@@ -59,7 +58,7 @@ _谁不喜欢回复消息快又可爱的猫娘呢_
- [nonebot-plugin-latex](https://github.com/EillesWan/nonebot-plugin-latex)
- [nonebot-plugin-deepseek](https://github.com/KomoriDev/nonebot-plugin-deepseek)
"Marsho" logo 由 [@Asankilp](https://github.com/Asankilp) 绘制,基于 [CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/) 许可下提供。
"Marsho" logo 由 [@Asankilp](https://github.com/Asankilp)绘制,基于 [CC BY-NC-SA 4.0](http://creativecommons.org/licenses/by-nc-sa/4.0/) 许可下提供。
"nonebot-plugin-marshoai" 基于 [MIT](./LICENSE-MIT) 许可下提供。
部分指定的代码基于 [Mulan PSL v2](./LICENSE-MULAN) 许可下提供。

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@@ -1,87 +1,81 @@
import { VitePressSidebarOptions } from "vitepress-sidebar/types";
import { VitePressSidebarOptions } from "vitepress-sidebar/types"
export const gitea = {
svg: '<svg t="1725391346807" class="icon" viewBox="0 0 1025 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5067" width="256" height="256"><path d="M1004.692673 466.396616l-447.094409-447.073929c-25.743103-25.763582-67.501405-25.763582-93.264987 0l-103.873521 103.873521 78.171378 78.171378c12.533635-6.00058 26.562294-9.359266 41.389666-9.359266 53.02219 0 96.00928 42.98709 96.00928 96.00928 0 14.827372-3.358686 28.856031-9.359266 41.389666l127.97824 127.97824c12.533635-6.00058 26.562294-9.359266 41.389666-9.359266 53.02219 0 96.00928 42.98709 96.00928 96.00928s-42.98709 96.00928-96.00928 96.00928-96.00928-42.98709-96.00928-96.00928c0-14.827372 3.358686-28.856031 9.359266-41.389666l-127.97824-127.97824c-3.051489 1.454065-6.184898 2.744293-9.379746 3.870681l0 266.97461c37.273227 13.188988 63.99936 48.721433 63.99936 90.520695 0 53.02219-42.98709 96.00928-96.00928 96.00928s-96.00928-42.98709-96.00928-96.00928c0-41.799262 26.726133-77.331707 63.99936-90.520695l0-266.97461c-37.273227-13.188988-63.99936-48.721433-63.99936-90.520695 0-14.827372 3.358686-28.856031 9.359266-41.389666l-78.171378-78.171378-295.892081 295.871601c-25.743103 25.784062-25.743103 67.542365 0 93.285467l447.114889 447.073929c25.743103 25.743103 67.480925 25.743103 93.264987 0l445.00547-445.00547c25.763582-25.763582 25.763582-67.542365 0-93.285467z" fill="#a2d8f4" p-id="5068"></path></svg>',
};
svg: '<svg t="1725391346807" class="icon" viewBox="0 0 1025 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="5067" width="256" height="256"><path d="M1004.692673 466.396616l-447.094409-447.073929c-25.743103-25.763582-67.501405-25.763582-93.264987 0l-103.873521 103.873521 78.171378 78.171378c12.533635-6.00058 26.562294-9.359266 41.389666-9.359266 53.02219 0 96.00928 42.98709 96.00928 96.00928 0 14.827372-3.358686 28.856031-9.359266 41.389666l127.97824 127.97824c12.533635-6.00058 26.562294-9.359266 41.389666-9.359266 53.02219 0 96.00928 42.98709 96.00928 96.00928s-42.98709 96.00928-96.00928 96.00928-96.00928-42.98709-96.00928-96.00928c0-14.827372 3.358686-28.856031 9.359266-41.389666l-127.97824-127.97824c-3.051489 1.454065-6.184898 2.744293-9.379746 3.870681l0 266.97461c37.273227 13.188988 63.99936 48.721433 63.99936 90.520695 0 53.02219-42.98709 96.00928-96.00928 96.00928s-96.00928-42.98709-96.00928-96.00928c0-41.799262 26.726133-77.331707 63.99936-90.520695l0-266.97461c-37.273227-13.188988-63.99936-48.721433-63.99936-90.520695 0-14.827372 3.358686-28.856031 9.359266-41.389666l-78.171378-78.171378-295.892081 295.871601c-25.743103 25.784062-25.743103 67.542365 0 93.285467l447.114889 447.073929c25.743103 25.743103 67.480925 25.743103 93.264987 0l445.00547-445.00547c25.763582-25.763582 25.763582-67.542365 0-93.285467z" fill="#a2d8f4" p-id="5068"></path></svg>'
}
export const defaultLang = "zh";
export const defaultLang = 'zh'
const commonSidebarOptions: VitePressSidebarOptions = {
collapsed: true,
convertSameNameSubFileToGroupIndexPage: true,
useTitleFromFrontmatter: true,
useFolderTitleFromIndexFile: false,
useFolderLinkFromIndexFile: true,
useTitleFromFileHeading: true,
rootGroupText: "MARSHOAI",
includeFolderIndexFile: true,
sortMenusByFrontmatterOrder: true,
};
collapsed: true,
convertSameNameSubFileToGroupIndexPage: true,
useTitleFromFrontmatter: true,
useFolderTitleFromIndexFile: false,
useFolderLinkFromIndexFile: true,
useTitleFromFileHeading: true,
rootGroupText: 'MARSHOAI',
includeFolderIndexFile: true,
sortMenusByFrontmatterOrder: true,
}
export function generateSidebarConfig(): VitePressSidebarOptions[] {
let sections = ["dev", "start"];
let languages = ["zh", "en"];
let ret: VitePressSidebarOptions[] = [];
for (let language of languages) {
for (let section of sections) {
if (language === defaultLang) {
ret.push({
basePath: `/${section}/`,
scanStartPath: `docs/${language}/${section}`,
resolvePath: `/${section}/`,
...commonSidebarOptions,
});
} else {
ret.push({
basePath: `/${language}/${section}/`,
scanStartPath: `docs/${language}/${section}`,
resolvePath: `/${language}/${section}/`,
...commonSidebarOptions,
});
}
let sections = ["dev", "start"]
let languages = ['zh', 'en']
let ret: VitePressSidebarOptions[] = []
for (let language of languages) {
for (let section of sections) {
if (language === defaultLang) {
ret.push({
basePath: `/${section}/`,
scanStartPath: `docs/${language}/${section}`,
resolvePath: `/${section}/`,
...commonSidebarOptions
})
} else {
ret.push({
basePath: `/${language}/${section}/`,
scanStartPath: `docs/${language}/${section}`,
resolvePath: `/${language}/${section}/`,
...commonSidebarOptions
})
}
}
}
}
return ret;
return ret
}
export const ThemeConfig = {
getEditLink: (
editPageText: string
): { pattern: (params: { filePath: string }) => string; text: string } => {
return {
pattern: ({ filePath }: { filePath: string }): string => {
if (!filePath) {
throw new Error("filePath is undefined");
}
const regex = /^(dev\/api|[^\/]+\/dev\/api)/;
if (regex.test(filePath)) {
filePath = filePath
.replace(regex, "")
.replace("index.md", "__init__.py")
.replace(".md", ".py");
const fileName = filePath.split("/").pop();
const parentFolder = filePath.split("/").slice(-2, -1)[0];
if (
fileName &&
parentFolder &&
fileName.split(".")[0] === parentFolder
) {
filePath =
filePath.split("/").slice(0, -1).join("/") + "/__init__.py";
}
return `https://github.com/LiteyukiStudio/nonebot-plugin-marshoai/tree/main/nonebot_plugin_marshoai/${filePath}`;
} else {
return `https://github.com/LiteyukiStudio/nonebot-plugin-marshoai/tree/main/docs/${filePath}`;
}
},
text: editPageText,
};
},
getEditLink: (editPageText: string): { pattern: (params: { filePath: string; }) => string; text: string; } => {
return {
pattern: ({filePath}: { filePath: string; }): string => {
if (!filePath) {
throw new Error("filePath is undefined");
}
const regex = /^(dev\/api|[^\/]+\/dev\/api)/;
if (regex.test(filePath)) {
filePath = filePath.replace(regex, '')
.replace('index.md', '__init__.py')
.replace('.md', '.py');
const fileName = filePath.split('/').pop();
const parentFolder = filePath.split('/').slice(-2, -1)[0];
if (fileName && parentFolder && fileName.split('.')[0] === parentFolder) {
filePath = filePath.split('/').slice(0, -1).join('/') + '/__init__.py';
}
return `https://github.com/LiteyukiStudio/nonebot-plugin-marshoai/tree/main/nonebot_plugin_marshoai/${filePath}`;
} else {
return `https://github.com/LiteyukiStudio/nonebot-plugin-marshoai/tree/main/docs/${filePath}`;
}
},
text: editPageText
};
},
getOutLine: (label: string): { label: string; level: [number, number] } => {
return {
label: label,
level: [2, 6],
};
},
};
getOutLine: (label: string): { label: string; level: [number, number]; } => {
return {
label: label,
level: [2, 6]
};
},
copyright: 'Copyright (C) 2020-2024 LiteyukiStudio. All Rights Reserved'
}

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@@ -23,7 +23,7 @@ export const en = defineConfig({
lightModeSwitchTitle: 'Light',
darkModeSwitchTitle: 'Dark',
footer: {
message: "The document is being improved. Suggestions are welcome.<br>Webpage is deployed at <a href='https://meli.liteyuki.icu' target='_blank'>Liteyuki Meli</a> and accelerated by <a href='https://cdn.liteyuki.icu' target='_blank'>Liteyukiflare</a>.",
message: "The document is being improved. Suggestions are welcome.",
copyright: '© 2024 <a href="https://liteyuki.icu" target="_blank">Liteyuki Studio</a>',
}
},

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@@ -8,13 +8,12 @@ import { generateSidebar } from 'vitepress-sidebar'
// https://vitepress.dev/reference/site-config
export default defineConfig({
head: [
["script", { src: "https://cdn.liteyuki.icu/js/liteyuki_footer.js" }],
['link', { rel: 'icon', type: 'image/x-icon', href: '/favicon.ico' }],
],
rewrites: {
[`${defaultLang}/:rest*`]: ":rest*",
},
cleanUrls: false,
cleanUrls: true,
themeConfig: {
// https://vitepress.dev/reference/default-theme-config
logo: {

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@@ -23,7 +23,7 @@ export const ja = defineConfig({
lightModeSwitchTitle: 'ライト',
darkModeSwitchTitle: 'ダーク',
footer: {
message: "ドキュメントは改善中です。ご意見をお待ちしております。<br>ウェブサイトは <a href='https://meli.liteyuki.icu' target='_blank'>Liteyuki Meli</a> によってデプロイされ、<a href='https://cdn.liteyuki.icu' target='_blank'>Liteyukiflare</a> によって加速されています。",
message: "ドキュメントは改善中です。ご意見をお待ちしております。",
copyright: '© 2024 <a href="https://liteyuki.icu" target="_blank">Liteyuki Studio</a>',
}
},

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@@ -23,7 +23,7 @@ export const zh = defineConfig({
lightModeSwitchTitle: '轻色模式',
darkModeSwitchTitle: '深色模式',
footer: {
message: "文档完善中,欢迎提出建议或帮助我们完善。<br>网站部署在 <a href='https://meli.liteyuki.icu' target='_blank'>Liteyuki Meli</a> 由 <a href='https://cdn.liteyuki.icu' target='_blank'>Liteyukiflare</a> 提供加速服务。",
message: "文档完善中,欢迎提出建议或帮助我们完善。",
copyright: '© 2024 <a href="https://liteyuki.icu" target="_blank">Liteyuki Studio</a>',
}
},

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@@ -147,5 +147,4 @@ Add options in the `.env` file from the diagram below in nonebot2 project.
| MARSHOAI_ENABLE_RICHTEXT_PARSE | `bool` | `true` | Turn on auto parse rich text feature(including image, LaTeX equation) |
| MARSHOAI_SINGLE_LATEX_PARSE | `bool` | `false`| Render single-line equation or not |
| MARSHOAI_FIX_TOOLCALLS | `bool` | `true` | Fix tool calls or not |
| MARSHOAI_SEND_THINKING | `bool` | `true` | Send thinking chain or not |
| MARSHOAI_STREAM | `bool` | `false`| 是否通过流式方式请求 API **开启此项后暂无法使用函数调用,无法在 Bot 用户侧聊天界面呈现出流式效果** |
| MARSHOAI_SEND_THINKING | `bool` | `true` | Send thinking chain or not |

View File

@@ -149,8 +149,6 @@ GitHub Models API 的限制较多,不建议使用,建议通过修改`MARSHOA
| MARSHOAI_SINGLE_LATEX_PARSE | `bool` | `false` | 单行公式是否渲染(当消息富文本解析启用时可用)(如果单行也渲……只能说不好看) |
| MARSHOAI_FIX_TOOLCALLS | `bool` | `true` | 是否修复工具调用(部分模型须关闭,使用 vLLM 部署的模型时须关闭) |
| MARSHOAI_SEND_THINKING | `bool` | `true` | 是否发送思维链(部分模型不支持) |
| MARSHOAI_STREAM | `bool` | `false`| 是否通过流式方式请求 API **开启此项后暂无法使用函数调用,无法在 Bot 用户侧聊天界面呈现出流式效果** |
#### 开发及调试选项

View File

@@ -1,39 +0,0 @@
from ..models import Cache
cache = Cache()
def from_cache(key):
"""
当缓存中有数据时,直接返回缓存中的数据,否则执行函数并将结果存入缓存
"""
def decorator(func):
async def wrapper(*args, **kwargs):
cached = cache.get(key)
if cached:
return cached
else:
result = await func(*args, **kwargs)
cache.set(key, result)
return result
return wrapper
return decorator
def update_to_cache(key):
"""
执行函数并将结果存入缓存
"""
def decorator(func):
async def wrapper(*args, **kwargs):
result = await func(*args, **kwargs)
cache.set(key, result)
return result
return wrapper
return decorator

View File

@@ -1,3 +1,4 @@
import shutil
from io import StringIO
from pathlib import Path
@@ -32,7 +33,6 @@ class ConfigModel(BaseModel):
marshoai_enable_sysasuser_prompt: bool = False
marshoai_additional_prompt: str = ""
marshoai_poke_suffix: str = "揉了揉你的猫耳"
marshoai_stream: bool = False
marshoai_enable_richtext_parse: bool = True
"""
是否启用自动消息富文本解析 即若包含图片链接则发送图片、若包含LaTeX公式则发送公式图。
@@ -81,15 +81,15 @@ destination_folder = Path("config/marshoai/")
destination_file = destination_folder / "config.yaml"
def dump_config_to_yaml(cfg: ConfigModel):
return yaml_.dump(cfg.model_dump(), allow_unicode=True, default_flow_style=False)
def dump_config_to_yaml(config: ConfigModel):
return yaml_.dump(config.model_dump(), allow_unicode=True, default_flow_style=False)
def write_default_config(dest_file):
def write_default_config(destination_file):
"""
写入默认配置
"""
with open(dest_file, "w", encoding="utf-8") as f:
with open(destination_file, "w", encoding="utf-8") as f:
with StringIO(dump_config_to_yaml(ConfigModel())) as f2:
f.write(f2.read())
@@ -110,17 +110,17 @@ def check_yaml_is_changed():
return True
def merge_configs(existing_cfg, new_cfg):
def merge_configs(old_config, new_config):
"""
合并配置文件
"""
for key, value in new_cfg.items():
if key in existing_cfg:
for key, value in new_config.items():
if key in old_config:
continue
else:
logger.info(f"新增配置项: {key} = {value}")
existing_cfg[key] = value
return existing_cfg
old_config[key] = value
return old_config
config: ConfigModel = get_plugin_config(ConfigModel)

View File

@@ -1,327 +0,0 @@
import json
from typing import Optional, Tuple, Union
from azure.ai.inference.models import (
CompletionsFinishReason,
ImageContentItem,
ImageUrl,
TextContentItem,
ToolMessage,
UserMessage,
)
from nonebot.adapters import Bot, Event
from nonebot.log import logger
from nonebot.matcher import (
Matcher,
current_bot,
current_event,
current_matcher,
)
from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
from openai import AsyncOpenAI, AsyncStream
from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
from openai.types.chat.chat_completion import Choice
from .config import config
from .constants import SUPPORT_IMAGE_MODELS
from .instances import target_list
from .models import MarshoContext
from .plugin.func_call.caller import get_function_calls
from .plugin.func_call.models import SessionContext
from .util import (
extract_content_and_think,
get_image_b64,
get_nickname_by_user_id,
get_prompt,
make_chat_openai,
parse_richtext,
)
class MarshoHandler:
def __init__(
self,
client: AsyncOpenAI,
context: MarshoContext,
):
self.client = client
self.context = context
self.bot: Bot = current_bot.get()
self.event: Event = current_event.get()
# self.state: T_State = current_handler.get().state
self.matcher: Matcher = current_matcher.get()
self.message_id: str = UniMessage.get_message_id(self.event)
self.target = UniMessage.get_target(self.event)
async def process_user_input(
self, user_input: UniMsg, model_name: str
) -> Union[str, list]:
"""
处理用户输入为可输入 API 的格式,并添加昵称提示
"""
is_support_image_model = (
model_name.lower()
in SUPPORT_IMAGE_MODELS + config.marshoai_additional_image_models
)
usermsg = [] if is_support_image_model else ""
user_nickname = await get_nickname_by_user_id(self.event.get_user_id())
if user_nickname:
nickname_prompt = f"\n此消息的说话者为: {user_nickname}"
else:
nickname_prompt = ""
for i in user_input: # type: ignore
if i.type == "text":
if is_support_image_model:
usermsg += [TextContentItem(text=i.data["text"] + nickname_prompt).as_dict()] # type: ignore
else:
usermsg += str(i.data["text"] + nickname_prompt) # type: ignore
elif i.type == "image":
if is_support_image_model:
usermsg.append( # type: ignore
ImageContentItem(
image_url=ImageUrl( # type: ignore
url=str(await get_image_b64(i.data["url"])) # type: ignore
) # type: ignore
).as_dict() # type: ignore
) # type: ignore
logger.info(f"输入图片 {i.data['url']}")
elif config.marshoai_enable_support_image_tip:
await UniMessage(
"*此模型不支持图片处理或管理员未启用此模型的图片支持。图片将被忽略。"
).send()
return usermsg # type: ignore
async def handle_single_chat(
self,
user_message: Union[str, list],
model_name: str,
tools_list: list | None,
tool_message: Optional[list] = None,
stream: bool = False,
) -> Union[ChatCompletion, AsyncStream[ChatCompletionChunk]]:
"""
处理单条聊天
"""
context_msg = get_prompt(model_name) + (
self.context.build(self.target.id, self.target.private)
)
response = await make_chat_openai(
client=self.client,
msg=context_msg + [UserMessage(content=user_message).as_dict()] + (tool_message if tool_message else []), # type: ignore
model_name=model_name,
tools=tools_list if tools_list else None,
stream=stream,
)
return response
async def handle_function_call(
self,
completion: Union[ChatCompletion, AsyncStream[ChatCompletionChunk]],
user_message: Union[str, list],
model_name: str,
tools_list: list,
):
# function call
# 需要获取额外信息,调用函数工具
tool_msg = []
if isinstance(completion, ChatCompletion):
choice = completion.choices[0]
else:
raise ValueError("Unexpected completion type")
# await UniMessage(str(response)).send()
tool_calls = choice.message.tool_calls
# try:
# if tool_calls[0]["function"]["name"].startswith("$"):
# choice.message.tool_calls[0][
# "type"
# ] = "builtin_function" # 兼容 moonshot AI 内置函数的临时方案
# except:
# pass
tool_msg.append(choice.message)
for tool_call in tool_calls: # type: ignore
try:
function_args = json.loads(tool_call.function.arguments)
except json.JSONDecodeError:
function_args = json.loads(
tool_call.function.arguments.replace("'", '"')
)
# 删除args的placeholder参数
if "placeholder" in function_args:
del function_args["placeholder"]
logger.info(
f"调用函数 {tool_call.function.name.replace('-', '.')}\n参数:"
+ "\n".join([f"{k}={v}" for k, v in function_args.items()])
)
await UniMessage(
f"调用函数 {tool_call.function.name.replace('-', '.')}\n参数:"
+ "\n".join([f"{k}={v}" for k, v in function_args.items()])
).send()
if caller := get_function_calls().get(tool_call.function.name):
logger.debug(f"调用插件函数 {caller.full_name}")
# 权限检查,规则检查 TODO
# 实现依赖注入检查函数参数及参数注解类型对Event类型的参数进行注入
func_return = await caller.with_ctx(
SessionContext(
bot=self.bot,
event=self.event,
matcher=self.matcher,
state=None,
)
).call(**function_args)
else:
logger.error(f"未找到函数 {tool_call.function.name.replace('-', '.')}")
func_return = f"未找到函数 {tool_call.function.name.replace('-', '.')}"
tool_msg.append(
ToolMessage(tool_call_id=tool_call.id, content=func_return).as_dict() # type: ignore
)
# tool_msg[0]["tool_calls"][0]["type"] = "builtin_function"
# await UniMessage(str(tool_msg)).send()
return await self.handle_common_chat(
user_message=user_message,
model_name=model_name,
tools_list=tools_list,
tool_message=tool_msg,
)
async def handle_common_chat(
self,
user_message: Union[str, list],
model_name: str,
tools_list: list,
stream: bool = False,
tool_message: Optional[list] = None,
) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
"""
处理一般聊天
"""
global target_list
if stream:
response = await self.handle_stream_request(
user_message=user_message,
model_name=model_name,
tools_list=tools_list,
tools_message=tool_message,
)
else:
response = await self.handle_single_chat( # type: ignore
user_message=user_message,
model_name=model_name,
tools_list=tools_list,
tool_message=tool_message,
)
choice = response.choices[0] # type: ignore
# Sprint(choice)
# 当tool_calls非空时将finish_reason设置为TOOL_CALLS
if choice.message.tool_calls is not None and config.marshoai_fix_toolcalls:
choice.finish_reason = "tool_calls"
logger.info(f"完成原因:{choice.finish_reason}")
if choice.finish_reason == CompletionsFinishReason.STOPPED:
##### DeepSeek-R1 兼容部分 #####
choice_msg_content, choice_msg_thinking, choice_msg_after = (
extract_content_and_think(choice.message)
)
if choice_msg_thinking and config.marshoai_send_thinking:
await UniMessage("思维链:\n" + choice_msg_thinking).send()
##### 兼容部分结束 #####
if [self.target.id, self.target.private] not in target_list:
target_list.append([self.target.id, self.target.private])
# 对话成功发送消息
if config.marshoai_enable_richtext_parse:
await (await parse_richtext(str(choice_msg_content))).send(
reply_to=True
)
else:
await UniMessage(str(choice_msg_content)).send(reply_to=True)
return UserMessage(content=user_message), choice_msg_after
elif choice.finish_reason == CompletionsFinishReason.CONTENT_FILTERED:
# 对话失败,消息过滤
await UniMessage("*已被内容过滤器过滤。请调整聊天内容后重试。").send(
reply_to=True
)
return None
elif choice.finish_reason == CompletionsFinishReason.TOOL_CALLS:
return await self.handle_function_call(
response, user_message, model_name, tools_list
)
else:
await UniMessage(f"意外的完成原因:{choice.finish_reason}").send()
return None
async def handle_stream_request(
self,
user_message: Union[str, list],
model_name: str,
tools_list: list,
tools_message: Optional[list] = None,
) -> Union[ChatCompletion, None]:
"""
处理流式请求
"""
response = await self.handle_single_chat(
user_message=user_message,
model_name=model_name,
tools_list=None, # TODO:让流式调用支持工具调用
tool_message=tools_message,
stream=True,
)
if isinstance(response, AsyncStream):
reasoning_contents = ""
answer_contents = ""
last_chunk = None
is_first_token_appeared = False
is_answering = False
async for chunk in response:
last_chunk = chunk
# print(chunk)
if not is_first_token_appeared:
logger.debug(f"{chunk.id}: 第一个 token 已出现")
is_first_token_appeared = True
if not chunk.choices:
logger.info("Usage:", chunk.usage)
else:
delta = chunk.choices[0].delta
if (
hasattr(delta, "reasoning_content")
and delta.reasoning_content is not None
):
reasoning_contents += delta.reasoning_content
else:
if not is_answering:
logger.debug(
f"{chunk.id}: 思维链已输出完毕或无 reasoning_content 字段输出"
)
is_answering = True
if delta.content is not None:
answer_contents += delta.content
# print(last_chunk)
# 创建新的 ChatCompletion 对象
if last_chunk and last_chunk.choices:
message = ChatCompletionMessage(
content=answer_contents,
role="assistant",
tool_calls=last_chunk.choices[0].delta.tool_calls, # type: ignore
)
if reasoning_contents != "":
setattr(message, "reasoning_content", reasoning_contents)
choice = Choice(
finish_reason=last_chunk.choices[0].finish_reason, # type: ignore
index=last_chunk.choices[0].index,
message=message,
)
return ChatCompletion(
id=last_chunk.id,
choices=[choice],
created=last_chunk.created,
model=last_chunk.model,
system_fingerprint=last_chunk.system_fingerprint,
object="chat.completion",
usage=last_chunk.usage,
)
return None

View File

@@ -6,7 +6,7 @@ import nonebot_plugin_localstore as store
from nonebot import logger
from .config import config
from .instances import context, driver, target_list, tools
from .instances import *
from .plugin import load_plugin, load_plugins
from .util import get_backup_context, save_context_to_json

View File

@@ -1,4 +1,6 @@
# Marsho 的类实例以及全局变量
from azure.ai.inference.aio import ChatCompletionsClient
from azure.core.credentials import AzureKeyCredential
from nonebot import get_driver
from openai import AsyncOpenAI

View File

@@ -2,10 +2,15 @@ import contextlib
import traceback
from typing import Optional
import openai
from arclet.alconna import Alconna, AllParam, Args
from azure.ai.inference.models import (
AssistantMessage,
CompletionsFinishReason,
ImageContentItem,
ImageUrl,
TextContentItem,
ToolMessage,
UserMessage,
)
from nonebot import logger, on_command, on_message
@@ -13,17 +18,15 @@ from nonebot.adapters import Bot, Event, Message
from nonebot.matcher import Matcher
from nonebot.params import CommandArg
from nonebot.permission import SUPERUSER
from nonebot.rule import to_me
from nonebot.rule import Rule, to_me
from nonebot.typing import T_State
from nonebot_plugin_alconna import MsgTarget, UniMessage, UniMsg, on_alconna
from .config import config
from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
from .handler import MarshoHandler
from .hooks import *
from .instances import client, context, model_name, target_list, tools
from .instances import *
from .metadata import metadata
from .plugin.func_call.caller import get_function_calls
from .plugin.func_call.models import SessionContext
from .util import *
@@ -32,20 +35,20 @@ async def at_enable():
changemodel_cmd = on_command(
"changemodel", permission=SUPERUSER, priority=96, block=True
"changemodel", permission=SUPERUSER, priority=10, block=True
)
# setprompt_cmd = on_command("prompt",permission=SUPERUSER)
praises_cmd = on_command("praises", permission=SUPERUSER, priority=96, block=True)
add_usermsg_cmd = on_command("usermsg", permission=SUPERUSER, priority=96, block=True)
praises_cmd = on_command("praises", permission=SUPERUSER, priority=10, block=True)
add_usermsg_cmd = on_command("usermsg", permission=SUPERUSER, priority=10, block=True)
add_assistantmsg_cmd = on_command(
"assistantmsg", permission=SUPERUSER, priority=96, block=True
"assistantmsg", permission=SUPERUSER, priority=10, block=True
)
contexts_cmd = on_command("contexts", permission=SUPERUSER, priority=96, block=True)
contexts_cmd = on_command("contexts", permission=SUPERUSER, priority=10, block=True)
save_context_cmd = on_command(
"savecontext", permission=SUPERUSER, priority=96, block=True
"savecontext", permission=SUPERUSER, priority=10, block=True
)
load_context_cmd = on_command(
"loadcontext", permission=SUPERUSER, priority=96, block=True
"loadcontext", permission=SUPERUSER, priority=10, block=True
)
marsho_cmd = on_alconna(
Alconna(
@@ -53,42 +56,42 @@ marsho_cmd = on_alconna(
Args["text?", AllParam],
),
aliases=tuple(config.marshoai_aliases),
priority=96,
priority=10,
block=True,
)
resetmem_cmd = on_alconna(
Alconna(
config.marshoai_default_name + ".reset",
),
priority=96,
priority=10,
block=True,
)
marsho_help_cmd = on_alconna(
Alconna(
config.marshoai_default_name + ".help",
),
priority=96,
priority=10,
block=True,
)
marsho_status_cmd = on_alconna(
Alconna(
config.marshoai_default_name + ".status",
),
priority=96,
priority=10,
block=True,
)
marsho_at = on_message(rule=to_me() & at_enable, priority=97)
marsho_at = on_message(rule=to_me() & at_enable, priority=11)
nickname_cmd = on_alconna(
Alconna(
"nickname",
Args["name?", str],
),
priority=96,
priority=10,
block=True,
)
refresh_data_cmd = on_command(
"refresh_data", permission=SUPERUSER, priority=96, block=True
"refresh_data", permission=SUPERUSER, priority=10, block=True
)
@@ -227,16 +230,16 @@ async def marsho(
# 发送说明
# await UniMessage(metadata.usage + "\n当前使用的模型" + model_name).send()
await marsho_cmd.finish(INTRODUCTION)
backup_context = await get_backup_context(target.id, target.private)
if backup_context:
context.set_context(
backup_context, target.id, target.private
) # 加载历史记录
logger.info(f"已恢复会话 {target.id} 的上下文备份~")
handler = MarshoHandler(client, context)
try:
user_nickname = await get_nickname_by_user_id(event.get_user_id())
if not user_nickname:
user_id = event.get_user_id()
nicknames = await get_nicknames()
user_nickname = nicknames.get(user_id, "")
if user_nickname != "":
nickname_prompt = (
f"\n*此消息的说话者id为:{user_id},名字为:{user_nickname}*"
)
else:
nickname_prompt = ""
# 用户名无法获取,暂时注释
# user_nickname = event.sender.nickname # 未设置昵称时获取用户名
# nickname_prompt = f"\n*此消息的说话者:{user_nickname}"
@@ -250,23 +253,189 @@ async def marsho(
"※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 = await handler.process_user_input(text, model_name)
is_support_image_model = (
model_name.lower()
in SUPPORT_IMAGE_MODELS + config.marshoai_additional_image_models
)
is_openai_new_model = model_name.lower() in OPENAI_NEW_MODELS
usermsg = [] if is_support_image_model else ""
for i in text: # type: ignore
if i.type == "text":
if is_support_image_model:
usermsg += [TextContentItem(text=i.data["text"] + nickname_prompt).as_dict()] # type: ignore
else:
usermsg += str(i.data["text"] + nickname_prompt) # type: ignore
elif i.type == "image":
if is_support_image_model:
usermsg.append( # type: ignore
ImageContentItem(
image_url=ImageUrl( # type: ignore
url=str(await get_image_b64(i.data["url"])) # type: ignore
) # type: ignore
).as_dict() # type: ignore
) # type: ignore
logger.info(f"输入图片 {i.data['url']}")
elif config.marshoai_enable_support_image_tip:
await UniMessage(
"*此模型不支持图片处理或管理员未启用此模型的图片支持。图片将被忽略。"
).send()
backup_context = await get_backup_context(target.id, target.private)
if backup_context:
context.set_context(
backup_context, target.id, target.private
) # 加载历史记录
logger.info(f"已恢复会话 {target.id} 的上下文备份~")
context_msg = get_prompt(model_name) + context.build(target.id, target.private)
tools_lists = tools.tools_list + list(
map(lambda v: v.data(), get_function_calls().values())
)
logger.info(f"正在获取回答,模型:{model_name}")
# logger.info(f"上下文:{context_msg}")
response = await handler.handle_common_chat(
usermsg, model_name, tools_lists, config.marshoai_stream
response = await make_chat_openai(
client=client,
model_name=model_name,
msg=context_msg + [UserMessage(content=usermsg).as_dict()], # type: ignore
tools=tools_lists if tools_lists else None, # TODO 临时追加函数,后期优化
)
# await UniMessage(str(response)).send()
if response is not None:
context_user, context_assistant = response
context.append(context_user.as_dict(), target.id, target.private)
context.append(context_assistant.to_dict(), target.id, target.private)
else:
choice = response.choices[0]
# Sprint(choice)
# 当tool_calls非空时将finish_reason设置为TOOL_CALLS
if choice.message.tool_calls != None and config.marshoai_fix_toolcalls:
choice.finish_reason = "tool_calls"
logger.info(f"完成原因:{choice.finish_reason}")
if choice.finish_reason == CompletionsFinishReason.STOPPED:
# 当对话成功时将dict的上下文添加到上下文类中
context.append(
UserMessage(content=usermsg).as_dict(), target.id, target.private # type: ignore
)
##### DeepSeek-R1 兼容部分 #####
choice_msg_content, choice_msg_thinking, choice_msg_after = (
extract_content_and_think(choice.message)
)
if choice_msg_thinking and config.marshoai_send_thinking:
await UniMessage("思维链:\n" + choice_msg_thinking).send()
##### 兼容部分结束 #####
context.append(choice_msg_after.to_dict(), target.id, target.private)
if [target.id, target.private] not in target_list:
target_list.append([target.id, target.private])
# 对话成功发送消息
if config.marshoai_enable_richtext_parse:
await (await parse_richtext(str(choice_msg_content))).send(
reply_to=True
)
else:
await UniMessage(str(choice_msg_content)).send(reply_to=True)
elif choice.finish_reason == CompletionsFinishReason.CONTENT_FILTERED:
# 对话失败,消息过滤
await UniMessage("*已被内容过滤器过滤。请调整聊天内容后重试。").send(
reply_to=True
)
return
elif choice.finish_reason == CompletionsFinishReason.TOOL_CALLS:
# function call
# 需要获取额外信息,调用函数工具
tool_msg = []
while choice.message.tool_calls != None:
# await UniMessage(str(response)).send()
tool_calls = choice.message.tool_calls
# try:
# if tool_calls[0]["function"]["name"].startswith("$"):
# choice.message.tool_calls[0][
# "type"
# ] = "builtin_function" # 兼容 moonshot AI 内置函数的临时方案
# except:
# pass
tool_msg.append(choice.message)
for tool_call in tool_calls:
try:
function_args = json.loads(tool_call.function.arguments)
except json.JSONDecodeError:
function_args = json.loads(
tool_call.function.arguments.replace("'", '"')
)
# 删除args的placeholder参数
if "placeholder" in function_args:
del function_args["placeholder"]
logger.info(
f"调用函数 {tool_call.function.name.replace('-', '.')}\n参数:"
+ "\n".join([f"{k}={v}" for k, v in function_args.items()])
)
await UniMessage(
f"调用函数 {tool_call.function.name.replace('-', '.')}\n参数:"
+ "\n".join([f"{k}={v}" for k, v in function_args.items()])
).send()
# TODO 临时追加插件函数,若工具中没有则调用插件函数
if tools.has_function(tool_call.function.name):
logger.debug(f"调用工具函数 {tool_call.function.name}")
func_return = await tools.call(
tool_call.function.name, function_args
) # 获取返回值
else:
if caller := get_function_calls().get(tool_call.function.name):
logger.debug(f"调用插件函数 {caller.full_name}")
# 权限检查,规则检查 TODO
# 实现依赖注入检查函数参数及参数注解类型对Event类型的参数进行注入
func_return = await caller.with_ctx(
SessionContext(
bot=bot,
event=event,
state=state,
matcher=matcher,
)
).call(**function_args)
else:
logger.error(
f"未找到函数 {tool_call.function.name.replace('-', '.')}"
)
func_return = f"未找到函数 {tool_call.function.name.replace('-', '.')}"
tool_msg.append(
ToolMessage(tool_call_id=tool_call.id, content=func_return).as_dict() # type: ignore
)
# tool_msg[0]["tool_calls"][0]["type"] = "builtin_function"
# await UniMessage(str(tool_msg)).send()
request_msg = context_msg + [UserMessage(content=usermsg).as_dict()] + tool_msg # type: ignore
response = await make_chat_openai(
client=client,
model_name=model_name,
msg=request_msg, # type: ignore
tools=(
tools_lists if tools_lists else None
), # TODO 临时追加函数,后期优化
)
choice = response.choices[0]
# 当tool_calls非空时将finish_reason设置为TOOL_CALLS
if choice.message.tool_calls != None:
choice.finish_reason = CompletionsFinishReason.TOOL_CALLS
if choice.finish_reason == CompletionsFinishReason.STOPPED:
# 对话成功 添加上下文
context.append(
UserMessage(content=usermsg).as_dict(), target.id, target.private # type: ignore
)
# context.append(tool_msg, target.id, target.private)
choice_msg_dict = choice.message.to_dict()
if "reasoning_content" in choice_msg_dict:
del choice_msg_dict["reasoning_content"]
context.append(choice_msg_dict, target.id, target.private)
# 发送消息
if config.marshoai_enable_richtext_parse:
await (await parse_richtext(str(choice.message.content))).send(
reply_to=True
)
else:
await UniMessage(str(choice.message.content)).send(reply_to=True)
else:
await marsho_cmd.finish(f"意外的完成原因:{choice.finish_reason}")
else:
await marsho_cmd.finish(f"意外的完成原因:{choice.finish_reason}")
except Exception as e:
await UniMessage(str(e) + suggest_solution(str(e))).send()
traceback.print_exc()
@@ -281,10 +450,12 @@ with contextlib.suppress(ImportError): # 优化先不做()
@poke_notify.handle()
async def poke(event: Event):
user_nickname = await get_nickname_by_user_id(event.get_user_id())
user_id = event.get_user_id()
nicknames = await get_nicknames()
user_nickname = nicknames.get(user_id, "")
try:
if config.marshoai_poke_suffix != "":
logger.info(f"收到戳一戳,用户昵称:{user_nickname}")
logger.info(f"收到戳一戳,用户昵称:{user_nickname}用户ID{user_id}")
response = await make_chat_openai(
client=client,
model_name=model_name,
@@ -295,7 +466,7 @@ with contextlib.suppress(ImportError): # 优化先不做()
),
],
)
choice = response.choices[0] # type: ignore
choice = response.choices[0]
if choice.finish_reason == CompletionsFinishReason.STOPPED:
content = extract_content_and_think(choice.message)[0]
await UniMessage(" " + str(content)).send(at_sender=True)

View File

@@ -5,7 +5,7 @@ from .constants import USAGE
metadata = PluginMetadata(
name="Marsho AI 插件",
description="接入 Azure API 或其他 API 的 AI 聊天插件,支持图片处理,外部函数调用,兼容包括 DeepSeek-R1 QwQ-32B 在内的多个模型",
description="接入 Azure API 或其他 API 的 AI 聊天插件,支持图片处理,外部函数调用,兼容包括 DeepSeek-R1 在内的多个模型",
usage=USAGE,
type="application",
config=ConfigModel,

View File

@@ -9,25 +9,7 @@ import traceback
from nonebot import logger
from .config import config
class Cache:
"""
缓存类
"""
def __init__(self):
self.cache = {}
def get(self, key):
if key in self.cache:
return self.cache[key]
else:
self.cache[key] = None
return None
def set(self, key, value):
self.cache[key] = value
from .util import *
class MarshoContext:

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@@ -70,8 +70,8 @@ class Caller:
):
return False, "告诉用户 Permission Denied 权限不足"
# if self.ctx.state is None:
# return False, "State is None"
if self.ctx.state is None:
return False, "State is None"
if self._rule and not await self._rule(
self.ctx.bot, self.ctx.event, self.ctx.state
):
@@ -115,10 +115,6 @@ class Caller:
# 检查函数签名,确定依赖注入参数
sig = inspect.signature(func)
for name, param in sig.parameters.items():
# if param.annotation == T_State:
# self.di.state = name
# continue # 防止后续判断T_State子类时报错
if issubclass(param.annotation, Event) or isinstance(
param.annotation, Event
):
@@ -137,6 +133,9 @@ class Caller:
):
self.di.matcher = name
if param.annotation == T_State:
self.di.state = name
# 检查默认值情况
for name, param in sig.parameters.items():
if param.default is not inspect.Parameter.empty:

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@@ -19,7 +19,7 @@ class SessionContext(BaseModel):
bot: Bot
event: Event
matcher: Matcher
state: T_State | None
state: T_State
caller: Any = None
class Config:
@@ -30,5 +30,5 @@ class SessionContextDepends(BaseModel):
bot: str | None = None
event: str | None = None
matcher: str | None = None
# state: str | None = None
state: str | None = None
caller: str | None = None

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@@ -16,7 +16,7 @@ marsho_memory_cmd = on_alconna(
Subcommand("view", alias={"v"}),
Subcommand("reset", alias={"r"}),
),
priority=96,
priority=10,
block=True,
)

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@@ -3,7 +3,7 @@ import json
import mimetypes
import re
import uuid
from typing import Any, Dict, List, Optional, Union
from typing import Any, Dict, List, Optional
import aiofiles # type: ignore
import httpx
@@ -15,19 +15,18 @@ from nonebot.log import logger
from nonebot_plugin_alconna import Image as ImageMsg
from nonebot_plugin_alconna import Text as TextMsg
from nonebot_plugin_alconna import UniMessage
from openai import AsyncOpenAI, AsyncStream, NotGiven
from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
from openai import AsyncOpenAI, NotGiven
from openai.types.chat import ChatCompletion, ChatCompletionMessage
from zhDateTime import DateTime
from ._types import DeveloperMessage
from .cache.decos import *
from .config import config
from .constants import CODE_BLOCK_PATTERN, IMG_LATEX_PATTERN, OPENAI_NEW_MODELS
from .constants import *
from .deal_latex import ConvertLatex
# nickname_json = None # 记录昵称
# praises_json = None # 记录夸赞名单
loaded_target_list: List[str] = [] # 记录已恢复备份的上下文的列表
nickname_json = None # 记录昵称
praises_json = None # 记录夸赞名单
loaded_target_list = [] # 记录已恢复备份的上下文的列表
NOT_GIVEN = NotGiven()
@@ -109,13 +108,35 @@ async def get_image_b64(url: str, timeout: int = 10) -> Optional[str]:
return None
async def make_chat(
client: ChatCompletionsClient,
msg: list,
model_name: str,
tools: Optional[list] = None,
):
"""
调用ai获取回复
参数:
client: 用于与AI模型进行通信
msg: 消息内容
model_name: 指定AI模型名
tools: 工具列表
"""
return await client.complete(
messages=msg,
model=model_name,
tools=tools,
**config.marshoai_model_args,
)
async def make_chat_openai(
client: AsyncOpenAI,
msg: list,
model_name: str,
tools: Optional[list] = None,
stream: bool = False,
) -> Union[ChatCompletion, AsyncStream[ChatCompletionChunk]]:
) -> ChatCompletion:
"""
使用 Openai SDK 调用ai获取回复
@@ -130,34 +151,34 @@ async def make_chat_openai(
model=model_name,
tools=tools or NOT_GIVEN,
timeout=config.marshoai_timeout,
stream=stream,
**config.marshoai_model_args,
)
@from_cache("praises")
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 praises_file.exists():
with open(praises_file, "w", encoding="utf-8") as f:
json.dump(_praises_init_data, f, ensure_ascii=False, indent=4)
with open(praises_file, "r", encoding="utf-8") as f:
data = json.load(f)
praises_json = data
global praises_json
if praises_json is None:
praises_file = store.get_plugin_data_file(
"praises.json"
) # 夸赞名单文件使用localstore存储
if not praises_file.exists():
with open(praises_file, "w", encoding="utf-8") as f:
json.dump(_praises_init_data, f, ensure_ascii=False, indent=4)
with open(praises_file, "r", encoding="utf-8") as f:
data = json.load(f)
praises_json = data
return praises_json
@update_to_cache("praises")
async def refresh_praises_json():
global praises_json
praises_file = store.get_plugin_data_file("praises.json")
if not praises_file.exists():
with open(praises_file, "w", encoding="utf-8") as f:
json.dump(_praises_init_data, f, ensure_ascii=False, indent=4) # 异步?
async with aiofiles.open(praises_file, "r", encoding="utf-8") as f:
data = json.loads(await f.read())
return data
praises_json = data
def build_praises() -> str:
@@ -189,21 +210,22 @@ async def load_context_from_json(name: str, path: str) -> list:
return []
@from_cache("nickname")
async def get_nicknames():
"""获取nickname_json, 优先来源于缓存"""
filename = store.get_plugin_data_file("nickname.json")
# noinspection PyBroadException
try:
async with aiofiles.open(filename, "r", encoding="utf-8") as f:
nickname_json = json.loads(await f.read())
except (json.JSONDecodeError, FileNotFoundError):
nickname_json = {}
"""获取nickname_json, 优先来源于全局变量"""
global nickname_json
if nickname_json is None:
filename = store.get_plugin_data_file("nickname.json")
# noinspection PyBroadException
try:
async with aiofiles.open(filename, "r", encoding="utf-8") as f:
nickname_json = json.loads(await f.read())
except Exception:
nickname_json = {}
return nickname_json
@update_to_cache("nickname")
async def set_nickname(user_id: str, name: str):
global nickname_json
filename = store.get_plugin_data_file("nickname.json")
if not filename.exists():
data = {}
@@ -215,25 +237,19 @@ async def set_nickname(user_id: str, name: str):
del data[user_id]
with open(filename, "w", encoding="utf-8") as f:
json.dump(data, f, ensure_ascii=False, indent=4)
return data
nickname_json = data
async def get_nickname_by_user_id(user_id: str):
nickname_json = await get_nicknames()
return nickname_json.get(user_id, "")
@update_to_cache("nickname")
async def refresh_nickname_json():
"""强制刷新nickname_json"""
"""强制刷新nickname_json, 刷新全局变量"""
global nickname_json
# noinspection PyBroadException
try:
async with aiofiles.open(
store.get_plugin_data_file("nickname.json"), "r", encoding="utf-8"
) as f:
nickname_json = json.loads(await f.read())
return nickname_json
except (json.JSONDecodeError, FileNotFoundError):
except Exception:
logger.error("刷新 nickname_json 表错误:无法载入 nickname.json 文件")

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@@ -81,4 +81,4 @@ test = [
]
[tool.ruff.lint]
ignore = ["E402", "F405"]
ignore = ["E402"]