✨ 暗语初步支持 (#27)

📝 new page

.github/workflows/docs-build.yml

@@ -52,7 +52,7 @@ jobs:
       - name: "发布"
         run: |
           npx -p "@getmeli/cli" meli upload docs/.vitepress/dist \
-            --url "https://pages.liteyuki.icu" \
+            --url "https://dash.apage.dev" \
             --site "$MELI_SITE" \
             --token "$MELI_TOKEN" \
             --release "$GITHUB_SHA"

nonebot_plugin_marshoai/__init__.py

@@ -26,17 +26,19 @@ from nonebot.plugin import require
 
 require("nonebot_plugin_alconna")
 require("nonebot_plugin_localstore")
+require("nonebot_plugin_argot")
 
 import nonebot_plugin_localstore as store  # type: ignore
 from nonebot import get_driver, logger  # type: ignore
 
 from .config import config
-
-# from .hunyuan import *
 from .dev import *
 from .marsho import *
 from .metadata import metadata
 
+# from .hunyuan import *
+
+
 __author__ = "Asankilp"
 __plugin_meta__ = metadata
 

nonebot_plugin_marshoai/dev.py

@@ -1,15 +1,16 @@
 import os
 from pathlib import Path
 
-from nonebot import get_driver, logger, require
+from nonebot import get_driver, logger, on_command, require
 from nonebot.adapters import Bot, Event
 from nonebot.matcher import Matcher
 from nonebot.typing import T_State
+from nonebot_plugin_argot import add_argot, get_message_id
 
 from nonebot_plugin_marshoai.plugin.load import reload_plugin
 
 from .config import config
-from .marsho import context
+from .instances import context
 from .plugin.func_call.models import SessionContext
 
 require("nonebot_plugin_alconna")
@@ -48,6 +49,21 @@ function_call = on_alconna(
     permission=SUPERUSER,
 )
 
+argot_test = on_command("argot", permission=SUPERUSER)
+
+
+@argot_test.handle()
+async def _():
+    await argot_test.send(
+        "aa",
+        argot={
+            "name": "test",
+            "command": "test",
+            "segment": f"{os.getcwd()}",
+            "expired_at": 1000,
+        },
+    )
+
 
 @function_call.assign("list")
 async def list_functions():

nonebot_plugin_marshoai/handler.py

@@ -1,4 +1,5 @@
 import json
+from datetime import timedelta
 from typing import Optional, Tuple, Union
 
 from azure.ai.inference.models import (
@@ -17,10 +18,15 @@ from nonebot.matcher import (
     current_event,
     current_matcher,
 )
-from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
+from nonebot_plugin_alconna.uniseg import (
+    Text,
+    UniMessage,
+    UniMsg,
+    get_target,
+)
+from nonebot_plugin_argot import Argot  # type: ignore
 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
@@ -36,6 +42,7 @@ from .util import (
     make_chat_openai,
     parse_richtext,
 )
+from .utils.processor import process_chat_stream, process_completion_to_details
 
 
 class MarshoHandler:
@@ -51,7 +58,7 @@ class MarshoHandler:
         # 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)
+        self.target = get_target(self.event)
 
     async def process_user_input(
         self, user_input: UniMsg, model_name: str
@@ -117,10 +124,10 @@ class MarshoHandler:
 
     async def handle_function_call(
         self,
-        completion: Union[ChatCompletion, AsyncStream[ChatCompletionChunk]],
+        completion: Union[ChatCompletion],
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None = None,
     ):
         # function call
         # 需要获取额外信息，调用函数工具
@@ -188,7 +195,7 @@ class MarshoHandler:
         self,
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None = None,
         stream: bool = False,
         tool_message: Optional[list] = None,
     ) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
@@ -230,12 +237,28 @@ class MarshoHandler:
                 target_list.append([self.target.id, self.target.private])
 
             # 对话成功发送消息
+            send_message = UniMessage()
             if config.marshoai_enable_richtext_parse:
-                await (await parse_richtext(str(choice_msg_content))).send(
-                    reply_to=True
-                )
+                send_message = await parse_richtext(str(choice_msg_content))
             else:
-                await UniMessage(str(choice_msg_content)).send(reply_to=True)
+                send_message = UniMessage(str(choice_msg_content))
+            send_message.append(
+                Argot(
+                    "detail",
+                    Text(await process_completion_to_details(response)),
+                    command="detail",
+                    expired_at=timedelta(minutes=5),
+                )
+            )
+            # send_message.append(
+            #     Argot(
+            #         "debug",
+            #         Text(str(response)),
+            #         command=f"debug",
+            #         expired_at=timedelta(minutes=5),
+            #     )
+            # )
+            await send_message.send(reply_to=True)
             return UserMessage(content=user_message), choice_msg_after
         elif choice.finish_reason == CompletionsFinishReason.CONTENT_FILTERED:
 
@@ -257,9 +280,9 @@ class MarshoHandler:
         self,
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None = None,
         tools_message: Optional[list] = None,
-    ) -> Union[ChatCompletion, None]:
+    ) -> ChatCompletion:
         """
         处理流式请求
         """
@@ -272,56 +295,6 @@ class MarshoHandler:
         )
 
         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
+            return await process_chat_stream(response)
+        else:
+            raise TypeError("Unexpected response type for stream request")

nonebot_plugin_marshoai/marsho.py

@@ -15,7 +15,15 @@ from nonebot.params import CommandArg
 from nonebot.permission import SUPERUSER
 from nonebot.rule import to_me
 from nonebot.typing import T_State
-from nonebot_plugin_alconna import MsgTarget, UniMessage, UniMsg, on_alconna
+from nonebot_plugin_alconna import (
+    Emoji,
+    MsgTarget,
+    UniMessage,
+    UniMsg,
+    message_reaction,
+    on_alconna,
+)
+from nonebot_plugin_argot.extension import ArgotExtension  # type: ignore
 
 from .config import config
 from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
@@ -25,6 +33,7 @@ from .instances import client, context, model_name, target_list, tools
 from .metadata import metadata
 from .plugin.func_call.caller import get_function_calls
 from .util import *
+from .utils.processor import process_chat_stream
 
 
 async def at_enable():
@@ -55,6 +64,7 @@ marsho_cmd = on_alconna(
     aliases=tuple(config.marshoai_aliases),
     priority=96,
     block=True,
+    extensions=[ArgotExtension()],
 )
 resetmem_cmd = on_alconna(
     Alconna(
@@ -226,6 +236,7 @@ async def marsho(
     if not text:
         # 发送说明
         # await UniMessage(metadata.usage + "\n当前使用的模型：" + model_name).send()
+        await message_reaction(Emoji("38"))
         await marsho_cmd.finish(INTRODUCTION)
         backup_context = await get_backup_context(target.id, target.private)
         if backup_context:
@@ -256,6 +267,7 @@ async def marsho(
             map(lambda v: v.data(), get_function_calls().values())
         )
         logger.info(f"正在获取回答，模型：{model_name}")
+        await message_reaction(Emoji("66"))
         # logger.info(f"上下文：{context_msg}")
         response = await handler.handle_common_chat(
             usermsg, model_name, tools_lists, config.marshoai_stream
@@ -282,19 +294,23 @@ with contextlib.suppress(ImportError):  # 优化先不做（）
     async def poke(event: Event):
 
         user_nickname = await get_nickname_by_user_id(event.get_user_id())
+        usermsg = await get_prompt(model_name) + [
+            UserMessage(content=f"*{user_nickname}{config.marshoai_poke_suffix}"),
+        ]
         try:
             if config.marshoai_poke_suffix != "":
                 logger.info(f"收到戳一戳，用户昵称：{user_nickname}")
-                response = await make_chat_openai(
+
+                pre_response = await make_chat_openai(
                     client=client,
                     model_name=model_name,
-                    msg=await get_prompt(model_name)
-                    + [
-                        UserMessage(
-                            content=f"*{user_nickname}{config.marshoai_poke_suffix}"
-                        ),
-                    ],
+                    msg=usermsg,
+                    stream=config.marshoai_stream,
                 )
+                if isinstance(pre_response, AsyncStream):
+                    response = await process_chat_stream(pre_response)
+                else:
+                    response = pre_response
                 choice = response.choices[0]  # type: ignore
                 if choice.finish_reason == CompletionsFinishReason.STOPPED:
                     content = extract_content_and_think(choice.message)[0]

nonebot_plugin_marshoai/models.py

@@ -7,6 +7,7 @@ import sys
 import traceback
 
 from nonebot import logger
+from typing_extensions import deprecated
 
 from .config import config
 
@@ -73,6 +74,7 @@ class MarshoContext:
         return self._get_target_dict(is_private).setdefault(target_id, [])
 
 
+@deprecated("小棉工具已弃用，无法正常调用")
 class MarshoTools:
     """
     Marsho 的工具类

nonebot_plugin_marshoai/util.py

@@ -18,7 +18,7 @@ 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 zhDateTime import DateTime
+from zhDateTime import DateTime  # type: ignore
 
 from ._types import DeveloperMessage
 from .cache.decos import *

nonebot_plugin_marshoai/utils/processor.py

@@ -0,0 +1,87 @@
+from nonebot.log import logger
+from openai import AsyncStream
+from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
+from openai.types.chat.chat_completion import Choice
+
+
+async def process_chat_stream(
+    stream: AsyncStream[ChatCompletionChunk],
+) -> ChatCompletion:
+    reasoning_contents = ""
+    answer_contents = ""
+    last_chunk = None
+    is_first_token_appeared = False
+    is_answering = False
+    async for chunk in stream:
+        last_chunk = chunk
+        # print(chunk)
+        if not is_first_token_appeared:
+            logger.info(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.info(
+                        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,
+        )
+    else:
+        return ChatCompletion(
+            id="",
+            choices=[],
+            created=0,
+            model="",
+            system_fingerprint="",
+            object="chat.completion",
+            usage=None,
+        )
+
+
+async def process_completion_to_details(completion: ChatCompletion) -> str:
+    usage_text = ""
+    usage = completion.usage
+    if usage is None:
+        usage_text = "无"
+    else:
+        usage_text = str(usage)
+
+    details_text = f"""=========消息详情=========
+    模型: {completion.model}
+    消息 ID: {completion.id}
+    用量信息: {usage_text}"""
+    # print(details_text)
+    return details_text

pdm.lock

@@ -5,7 +5,7 @@
 groups = ["default", "dev", "test"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:d7ab3d9ca825de512d4f87ec846f7fddcf3d5796a7c9562e60c8c7d39c058817"
+content_hash = "sha256:6aa043fb1d2d4d384e0d0c698c02a27f22e099828d2973a4baef05c5316f4ee0"
 
 [[metadata.targets]]
 requires_python = "~=3.10"
@@ -1485,7 +1485,7 @@ files = [
 
 [[package]]
 name = "nonebot-plugin-alconna"
-version = "0.54.1"
+version = "0.57.0"
 requires_python = ">=3.9"
 summary = "Alconna Adapter for Nonebot"
 groups = ["default"]
@@ -1499,8 +1499,8 @@ dependencies = [
     "tarina<0.7,>=0.6.8",
 ]
 files = [
-    {file = "nonebot_plugin_alconna-0.54.1-py3-none-any.whl", hash = "sha256:4edb4b081cd64ce37717c7a92d31aadd2cf287a5a0adc2ac86ed82d9bcad5048"},
-    {file = "nonebot_plugin_alconna-0.54.1.tar.gz", hash = "sha256:66fae03120b8eff25bb0027d65f149e399aa6f73c7585ebdd388d1904cecdeee"},
+    {file = "nonebot_plugin_alconna-0.57.0-py3-none-any.whl", hash = "sha256:6c4bcce1a9aa176244b4c011b19b1cea00269c4c6794cd4e90d8dd7990ec3ec9"},
+    {file = "nonebot_plugin_alconna-0.57.0.tar.gz", hash = "sha256:7a9a4bf373f3f6836611dbde1a0917b84441a534dd6f2b20dae3ba6fff142858"},
 ]
 
 [[package]]
@@ -1519,9 +1519,27 @@ files = [
     {file = "nonebot_plugin_apscheduler-0.5.0.tar.gz", hash = "sha256:6c0230e99765f275dc83d6639ff33bd6f71203fa10cd1b8a204b0f95530cda86"},
 ]
 
+[[package]]
+name = "nonebot-plugin-argot"
+version = "0.1.7"
+requires_python = ">=3.10"
+summary = "NoneBot 暗语"
+groups = ["default"]
+dependencies = [
+    "aiofiles>=24.1.0",
+    "nonebot-plugin-alconna>=0.51.1",
+    "nonebot-plugin-apscheduler>=0.5.0",
+    "nonebot-plugin-localstore>=0.7.4",
+    "nonebot2>=2.3.2",
+]
+files = [
+    {file = "nonebot_plugin_argot-0.1.7-py3-none-any.whl", hash = "sha256:1af939a60967e27aff6f7ce97150d26cba8f1ef0cf216b44372cc0d8e5937204"},
+    {file = "nonebot_plugin_argot-0.1.7.tar.gz", hash = "sha256:f76c2139c9af1e2de6efdc487b728fbad84737d272bf1f600d085bbe6ed79094"},
+]
+
 [[package]]
 name = "nonebot-plugin-localstore"
-version = "0.7.3"
+version = "0.7.4"
 requires_python = "<4.0,>=3.9"
 summary = "Local Storage Support for NoneBot2"
 groups = ["default"]
@@ -1532,8 +1550,8 @@ dependencies = [
     "typing-extensions<5.0.0,>=4.0.0",
 ]
 files = [
-    {file = "nonebot_plugin_localstore-0.7.3-py3-none-any.whl", hash = "sha256:1bc239b4b5320df0dc08eada7c4f8ba4cb92d4dc3134bf4646ab5e297bd7e575"},
-    {file = "nonebot_plugin_localstore-0.7.3.tar.gz", hash = "sha256:1aff10e2dacfc5bc9ce239fd34849f8d7172a118135dbc5aeba1c97605d9959d"},
+    {file = "nonebot_plugin_localstore-0.7.4-py3-none-any.whl", hash = "sha256:3b08030878eadcdd8b9ce3d079da0dc2d0e41dc91f0b2d8cf7fa862a27de9090"},
+    {file = "nonebot_plugin_localstore-0.7.4.tar.gz", hash = "sha256:85ddc13814bfcd484ab311306823651390020bf44f4fb4733b343a58e72723ce"},
 ]
 
 [[package]]

pyproject.toml

@@ -10,7 +10,7 @@ authors = [
 ]
 dependencies = [
     "nonebot2>=2.4.0",
-    "nonebot-plugin-alconna>=0.48.0",
+    "nonebot-plugin-alconna>=0.57.1",
     "nonebot-plugin-localstore>=0.7.1",
     "zhDatetime>=2.0.0",
     "aiohttp>=3.9",
@@ -28,7 +28,8 @@ dependencies = [
     "azure-ai-inference>=1.0.0b6",
     "watchdog>=6.0.0",
     "nonebot-plugin-apscheduler>=0.5.0",
-    "openai>=1.58.1"
+    "openai>=1.58.1",
+    "nonebot-plugin-argot>=0.1.7"
 
 ]
 license = { text = "MIT, Mulan PSL v2" }