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12 changed files with 256 additions and 386 deletions

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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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@@ -1,39 +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

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@@ -1,3 +1,4 @@
import shutil
from io import StringIO
from pathlib import Path
@@ -80,15 +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())
@@ -109,17 +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)

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@@ -1,242 +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
from openai.types.chat import ChatCompletion, ChatCompletionMessage
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,
tool_message: Optional[list] = None,
) -> ChatCompletion:
"""
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,
)
return response
async def handle_function_call(
self,
completion: ChatCompletion,
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 = []
choice = completion.choices[0]
# 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:
raise NotImplementedError
response = await self.handle_single_chat(
user_message=user_message,
model_name=model_name,
tools_list=tools_list,
tool_message=tool_message,
)
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 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

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@@ -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

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@@ -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

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@@ -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 *
@@ -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}"
@@ -250,21 +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)
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()
@@ -279,10 +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,

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:

View File

@@ -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:

View File

@@ -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

View File

@@ -20,14 +20,13 @@ 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()
@@ -156,29 +155,30 @@ async def make_chat_openai(
)
@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:
@@ -210,21 +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 = {}
@@ -236,25 +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")

View File

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