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✨v0.2,支持保存/读取上下文
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@ -1,5 +1,5 @@
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<div align="center">
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<div align="center">
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<a href="https://v2.nonebot.dev/store"><img src="https://github.com/LiteyukiStudio/nonebot-plugin-marshoai/blob/main/resources/marsho.svg" width="820" height="310" alt="NoneBotPluginLogo"></a>
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<a href="https://v2.nonebot.dev/store"><img src="https://raw.githubusercontent.com/LiteyukiStudio/nonebot-plugin-marshoai/refs/heads/main/resources/marsho.svg" width="820" height="310" alt="NoneBotPluginLogo"></a>
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<br>
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<br>
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</div>
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</div>
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@ -15,6 +15,8 @@ usage = """MarshoAI Alpha by Asankilp
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praises : 返回夸赞名单的提示词。
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praises : 返回夸赞名单的提示词。
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usermsg <消息> : 往当前会话添加用户消息(UserMessage)。
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usermsg <消息> : 往当前会话添加用户消息(UserMessage)。
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assistantmsg <消息> : 往当前会话添加助手消息(AssistantMessage)。
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assistantmsg <消息> : 往当前会话添加助手消息(AssistantMessage)。
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savecontext <文件名> : 保存当前会话的上下文至插件数据目录下的contexts/<文件名>.json里。
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loadcontext <文件名> : 从插件数据目录下的contexts/<文件名>.json里读取上下文并覆盖到当前会话。
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注意事项:
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注意事项:
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- 当 Marsho 回复消息为None或以content_filter开头的错误信息时,表示该消息被内容过滤器过滤,请调整你的聊天内容确保其合规。
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- 当 Marsho 回复消息为None或以content_filter开头的错误信息时,表示该消息被内容过滤器过滤,请调整你的聊天内容确保其合规。
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- 当回复以RateLimitReached开头的错误信息时,该 AI 模型的次数配额已用尽,请联系Bot管理员。
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- 当回复以RateLimitReached开头的错误信息时,该 AI 模型的次数配额已用尽,请联系Bot管理员。
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@ -20,6 +20,8 @@ praises_cmd = on_command("praises",permission=SUPERUSER)
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add_usermsg_cmd = on_command("usermsg",permission=SUPERUSER)
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add_usermsg_cmd = on_command("usermsg",permission=SUPERUSER)
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add_assistantmsg_cmd = on_command("assistantmsg",permission=SUPERUSER)
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add_assistantmsg_cmd = on_command("assistantmsg",permission=SUPERUSER)
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contexts_cmd = on_command("contexts",permission=SUPERUSER)
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contexts_cmd = on_command("contexts",permission=SUPERUSER)
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save_context_cmd = on_command("savecontext",permission=SUPERUSER)
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load_context_cmd = on_command("loadcontext",permission=SUPERUSER)
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marsho_cmd = on_alconna(
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marsho_cmd = on_alconna(
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Alconna(
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Alconna(
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"marsho",
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"marsho",
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@ -32,14 +34,14 @@ context = MarshoContext()
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@add_usermsg_cmd.handle()
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@add_usermsg_cmd.handle()
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async def add_usermsg(target: MsgTarget, arg: Message = CommandArg()):
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async def add_usermsg(target: MsgTarget, arg: Message = CommandArg()):
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if msg := arg.extract_plain_text():
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if msg := arg.extract_plain_text():
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context.append(UserMessage(content=msg), target.id, target.private)
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context.append(UserMessage(content=msg).as_dict(), target.id, target.private)
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await UniMessage("已添加用户消息").send()
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await add_usermsg_cmd.finish("已添加用户消息")
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@add_assistantmsg_cmd.handle()
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@add_assistantmsg_cmd.handle()
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async def add_assistantmsg(target: MsgTarget, arg: Message = CommandArg()):
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async def add_assistantmsg(target: MsgTarget, arg: Message = CommandArg()):
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if msg := arg.extract_plain_text():
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if msg := arg.extract_plain_text():
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context.append(AssistantMessage(content=msg), target.id, target.private)
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context.append(AssistantMessage(content=msg).as_dict(), target.id, target.private)
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await UniMessage("已添加助手消息").send()
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await add_assistantmsg_cmd.finish("已添加助手消息")
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@praises_cmd.handle()
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@praises_cmd.handle()
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async def praises():
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async def praises():
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@ -49,17 +51,18 @@ async def praises():
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async def contexts(target: MsgTarget):
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async def contexts(target: MsgTarget):
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await UniMessage(str(context.build(target.id, target.private)[1:])).send()
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await UniMessage(str(context.build(target.id, target.private)[1:])).send()
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# @setprompt_cmd.handle() #用不了了
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@save_context_cmd.handle()
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# async def setprompt(arg: Message = CommandArg()):
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async def save_context(target: MsgTarget, arg: Message = CommandArg()):
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# global spell, context
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contexts = context.build(target.id, target.private)[1:]
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# if prompt := arg.extract_plain_text():
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if msg := arg.extract_plain_text():
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# spell = SystemMessage(content=prompt)
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await save_context_to_json(msg, contexts)
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# await setprompt_cmd.finish("已设置提示词")
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await save_context_cmd.finish("已保存上下文")
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# else:
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# spell = SystemMessage(content="")
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# context = []
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# await setprompt_cmd.finish("已清除提示词")
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@load_context_cmd.handle()
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async def load_context(target: MsgTarget, arg: Message = CommandArg()):
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if msg := arg.extract_plain_text():
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context.set_context(await load_context_from_json(msg), target.id, target.private)
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await load_context_cmd.finish("已加载并覆盖上下文")
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@resetmem_cmd.handle()
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@resetmem_cmd.handle()
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async def resetmem(target: MsgTarget):
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async def resetmem(target: MsgTarget):
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@ -72,6 +75,7 @@ async def changemodel(arg : Message = CommandArg()):
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if model := arg.extract_plain_text():
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if model := arg.extract_plain_text():
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model_name = model
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model_name = model
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await changemodel_cmd.finish("已切换")
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await changemodel_cmd.finish("已切换")
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@marsho_cmd.handle()
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@marsho_cmd.handle()
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async def marsho(
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async def marsho(
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target: MsgTarget,
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target: MsgTarget,
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@ -121,9 +125,9 @@ async def marsho(
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)
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)
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#await UniMessage(str(response)).send()
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#await UniMessage(str(response)).send()
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choice = response.choices[0]
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choice = response.choices[0]
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if choice["finish_reason"] == CompletionsFinishReason.STOPPED:
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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
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context.append(UserMessage(content=usermsg), target.id, target.private)
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context.append(UserMessage(content=usermsg).as_dict(), target.id, target.private)
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context.append(choice.message, target.id, target.private)
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context.append(choice.message.as_dict(), target.id, target.private)
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elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
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elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
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await UniMessage("*已被内容过滤器过滤。*").send()
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await UniMessage("*已被内容过滤器过滤。*").send()
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#await UniMessage(str(choice)).send()
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#await UniMessage(str(choice)).send()
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@ -13,7 +13,7 @@ class MarshoContext:
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def _get_target_dict(self, is_private):
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def _get_target_dict(self, is_private):
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return self.contents["private"] if is_private else self.contents["non-private"]
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return self.contents["private"] if is_private else self.contents["non-private"]
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def append(self, content, target_id, is_private):
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def append(self, content, target_id: str, is_private: bool):
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"""
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"""
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往上下文中添加消息
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往上下文中添加消息
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"""
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"""
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@ -22,14 +22,21 @@ class MarshoContext:
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target_dict[target_id] = []
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target_dict[target_id] = []
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target_dict[target_id].append(content)
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target_dict[target_id].append(content)
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def reset(self, target_id, is_private):
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def set_context(self, contexts, target_id: str, is_private: bool):
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"""
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设置上下文
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"""
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target_dict = self._get_target_dict(is_private)
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target_dict[target_id] = contexts
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def reset(self, target_id: str, is_private: bool):
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"""
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"""
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重置上下文
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重置上下文
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"""
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"""
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target_dict = self._get_target_dict(is_private)
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target_dict = self._get_target_dict(is_private)
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target_dict[target_id].clear()
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target_dict[target_id].clear()
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def build(self, target_id, is_private):
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def build(self, target_id: str, is_private: bool) -> list:
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"""
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"""
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构建返回的上下文,其中包括系统消息
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构建返回的上下文,其中包括系统消息
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"""
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"""
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@ -6,6 +6,7 @@ import httpx
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import nonebot_plugin_localstore as store
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import nonebot_plugin_localstore as store
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from datetime import datetime
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from datetime import datetime
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from zhDateTime import DateTime
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from zhDateTime import DateTime
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from pathlib import Path
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from azure.ai.inference.models import SystemMessage
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from azure.ai.inference.models import SystemMessage
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from .config import config
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from .config import config
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async def get_image_b64(url):
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async def get_image_b64(url):
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result.append(f"名字:{item['name']},优点:{item['advantages']}")
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result.append(f"名字:{item['name']},优点:{item['advantages']}")
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return "\n".join(result)
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return "\n".join(result)
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async def save_context_to_json(name: str, context: str):
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context_dir = store.get_plugin_data_dir() / "contexts"
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os.makedirs(context_dir, exist_ok=True)
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file_path = os.path.join(context_dir, f"{name}.json")
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with open(file_path, 'w', encoding='utf-8') as json_file:
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json.dump(context, json_file, ensure_ascii=False, indent=4)
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async def load_context_from_json(name: str):
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context_dir = store.get_plugin_data_dir() / "contexts"
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os.makedirs(context_dir, exist_ok=True)
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file_path = os.path.join(context_dir, f"{name}.json")
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try:
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with open(file_path, 'r', encoding='utf-8') as json_file:
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return json.load(json_file)
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except FileNotFoundError:
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return []
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def get_prompt():
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def get_prompt():
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prompts = ""
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prompts = ""
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prompts += config.marshoai_additional_prompt
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prompts += config.marshoai_additional_prompt
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@ -61,7 +79,7 @@ def get_prompt():
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time_prompt = f"现在的时间是{current_time},农历{current_lunar_date}。"
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time_prompt = f"现在的时间是{current_time},农历{current_lunar_date}。"
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prompts += time_prompt
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prompts += time_prompt
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marsho_prompt = config.marshoai_prompt
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marsho_prompt = config.marshoai_prompt
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spell = SystemMessage(content=marsho_prompt+prompts)
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spell = SystemMessage(content=marsho_prompt+prompts).as_dict()
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return spell
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return spell
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def suggest_solution(errinfo: str) -> str:
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def suggest_solution(errinfo: str) -> str:
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"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。",
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"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。",
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"tokens_limit_reached": "请求token达到上限。请重置上下文。",
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"tokens_limit_reached": "请求token达到上限。请重置上下文。",
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"content_length_limit": "请求体过大。请重置上下文。",
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"content_length_limit": "请求体过大。请重置上下文。",
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"unauthorized": "Azure凭据无效。请联系Bot管理员。"
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"unauthorized": "Azure凭据无效。请联系Bot管理员。",
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"invalid type: parameter messages.content is of type array but should be of type string.": "请重置上下文。"
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}
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}
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for key, suggestion in suggestions.items():
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for key, suggestion in suggestions.items():
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@ -1,6 +1,6 @@
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[project]
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[project]
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name = "nonebot-plugin-marshoai"
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name = "nonebot-plugin-marshoai"
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version = "0.1.4"
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version = "0.2"
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description = "Nonebot2插件,调用Azure OpenAI服务实现猫娘聊天"
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description = "Nonebot2插件,调用Azure OpenAI服务实现猫娘聊天"
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readme = "README.md"
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readme = "README.md"
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requires-python = "<4.0,>=3.9"
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requires-python = "<4.0,>=3.9"
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@ -22,6 +22,7 @@ Homepage = "https://github.com/LiteyukiStudio/nonebot-plugin-marshoai"
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[tool.nonebot]
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[tool.nonebot]
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plugins = ["nonebot_plugin_marshoai"]
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plugins = ["nonebot_plugin_marshoai"]
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adapters = [{name = "OneBot V11", module_name = "nonebot.adapters.onebot.v11"}]
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[tool.pdm]
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[tool.pdm]
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