[WIP] 表情回应支持 (#26)

* 初步支持&utils重构

* 戳一戳支持流式请求

* 移除未使用import

* 解决类型问题
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Akarin~ 2025-04-04 23:01:01 +08:00 committed by GitHub
parent c9d2ef7885
commit 5768b95b09
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6 changed files with 111 additions and 76 deletions

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@ -17,10 +17,9 @@ from nonebot.matcher import (
current_event, current_event,
current_matcher, current_matcher,
) )
from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg, get_message_id, get_target
from openai import AsyncOpenAI, AsyncStream from openai import AsyncOpenAI, AsyncStream
from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
from openai.types.chat.chat_completion import Choice
from .config import config from .config import config
from .constants import SUPPORT_IMAGE_MODELS from .constants import SUPPORT_IMAGE_MODELS
@ -36,6 +35,7 @@ from .util import (
make_chat_openai, make_chat_openai,
parse_richtext, parse_richtext,
) )
from .utils.request import process_chat_stream
class MarshoHandler: class MarshoHandler:
@ -50,8 +50,8 @@ class MarshoHandler:
self.event: Event = current_event.get() self.event: Event = current_event.get()
# self.state: T_State = current_handler.get().state # self.state: T_State = current_handler.get().state
self.matcher: Matcher = current_matcher.get() self.matcher: Matcher = current_matcher.get()
self.message_id: str = UniMessage.get_message_id(self.event) self.message_id: str = get_message_id(self.event)
self.target = UniMessage.get_target(self.event) self.target = get_target(self.event)
async def process_user_input( async def process_user_input(
self, user_input: UniMsg, model_name: str self, user_input: UniMsg, model_name: str
@ -117,10 +117,10 @@ class MarshoHandler:
async def handle_function_call( async def handle_function_call(
self, self,
completion: Union[ChatCompletion, AsyncStream[ChatCompletionChunk]], completion: Union[ChatCompletion],
user_message: Union[str, list], user_message: Union[str, list],
model_name: str, model_name: str,
tools_list: list, tools_list: list | None = None,
): ):
# function call # function call
# 需要获取额外信息,调用函数工具 # 需要获取额外信息,调用函数工具
@ -188,7 +188,7 @@ class MarshoHandler:
self, self,
user_message: Union[str, list], user_message: Union[str, list],
model_name: str, model_name: str,
tools_list: list, tools_list: list | None = None,
stream: bool = False, stream: bool = False,
tool_message: Optional[list] = None, tool_message: Optional[list] = None,
) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]: ) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
@ -257,9 +257,9 @@ class MarshoHandler:
self, self,
user_message: Union[str, list], user_message: Union[str, list],
model_name: str, model_name: str,
tools_list: list, tools_list: list | None = None,
tools_message: Optional[list] = None, tools_message: Optional[list] = None,
) -> Union[ChatCompletion, None]: ) -> ChatCompletion:
""" """
处理流式请求 处理流式请求
""" """
@ -272,56 +272,6 @@ class MarshoHandler:
) )
if isinstance(response, AsyncStream): if isinstance(response, AsyncStream):
reasoning_contents = "" return await process_chat_stream(response)
answer_contents = "" else:
last_chunk = None raise TypeError("Unexpected response type for stream request")
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

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@ -15,7 +15,14 @@ from nonebot.params import CommandArg
from nonebot.permission import SUPERUSER from nonebot.permission import SUPERUSER
from nonebot.rule import to_me from nonebot.rule import to_me
from nonebot.typing import T_State 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 .config import config from .config import config
from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
@ -25,6 +32,7 @@ from .instances import client, context, model_name, target_list, tools
from .metadata import metadata from .metadata import metadata
from .plugin.func_call.caller import get_function_calls from .plugin.func_call.caller import get_function_calls
from .util import * from .util import *
from .utils.request import process_chat_stream
async def at_enable(): async def at_enable():
@ -226,6 +234,7 @@ async def marsho(
if not text: if not text:
# 发送说明 # 发送说明
# await UniMessage(metadata.usage + "\n当前使用的模型" + model_name).send() # 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) await marsho_cmd.finish(INTRODUCTION)
backup_context = await get_backup_context(target.id, target.private) backup_context = await get_backup_context(target.id, target.private)
if backup_context: if backup_context:
@ -256,6 +265,7 @@ async def marsho(
map(lambda v: v.data(), get_function_calls().values()) 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"正在获取回答,模型:{model_name}")
await message_reaction(Emoji("66"))
# logger.info(f"上下文:{context_msg}") # logger.info(f"上下文:{context_msg}")
response = await handler.handle_common_chat( response = await handler.handle_common_chat(
usermsg, model_name, tools_lists, config.marshoai_stream usermsg, model_name, tools_lists, config.marshoai_stream
@ -282,19 +292,23 @@ with contextlib.suppress(ImportError): # 优化先不做()
async def poke(event: Event): async def poke(event: Event):
user_nickname = await get_nickname_by_user_id(event.get_user_id()) 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: try:
if config.marshoai_poke_suffix != "": 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}")
response = await make_chat_openai(
pre_response = await make_chat_openai(
client=client, client=client,
model_name=model_name, model_name=model_name,
msg=await get_prompt(model_name) msg=usermsg,
+ [ stream=config.marshoai_stream,
UserMessage(
content=f"*{user_nickname}{config.marshoai_poke_suffix}"
),
],
) )
if isinstance(pre_response, AsyncStream):
response = await process_chat_stream(pre_response)
else:
response = pre_response
choice = response.choices[0] # type: ignore choice = response.choices[0] # type: ignore
if choice.finish_reason == CompletionsFinishReason.STOPPED: if choice.finish_reason == CompletionsFinishReason.STOPPED:
content = extract_content_and_think(choice.message)[0] content = extract_content_and_think(choice.message)[0]

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@ -18,7 +18,7 @@ from nonebot_plugin_alconna import Text as TextMsg
from nonebot_plugin_alconna import UniMessage from nonebot_plugin_alconna import UniMessage
from openai import AsyncOpenAI, AsyncStream, NotGiven from openai import AsyncOpenAI, AsyncStream, NotGiven
from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
from zhDateTime import DateTime from zhDateTime import DateTime # type: ignore
from ._types import DeveloperMessage from ._types import DeveloperMessage
from .cache.decos import * from .cache.decos import *

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@ -0,0 +1,71 @@
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.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,
)
else:
return ChatCompletion(
id="",
choices=[],
created=0,
model="",
system_fingerprint="",
object="chat.completion",
usage=None,
)

8
pdm.lock generated
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@ -5,7 +5,7 @@
groups = ["default", "dev", "test"] groups = ["default", "dev", "test"]
strategy = ["inherit_metadata"] strategy = ["inherit_metadata"]
lock_version = "4.5.0" lock_version = "4.5.0"
content_hash = "sha256:d7ab3d9ca825de512d4f87ec846f7fddcf3d5796a7c9562e60c8c7d39c058817" content_hash = "sha256:9dd3edfe69c332deac360af2685358e82c5dac0870900668534fc6f1d34040f8"
[[metadata.targets]] [[metadata.targets]]
requires_python = "~=3.10" requires_python = "~=3.10"
@ -1485,7 +1485,7 @@ files = [
[[package]] [[package]]
name = "nonebot-plugin-alconna" name = "nonebot-plugin-alconna"
version = "0.54.1" version = "0.57.0"
requires_python = ">=3.9" requires_python = ">=3.9"
summary = "Alconna Adapter for Nonebot" summary = "Alconna Adapter for Nonebot"
groups = ["default"] groups = ["default"]
@ -1499,8 +1499,8 @@ dependencies = [
"tarina<0.7,>=0.6.8", "tarina<0.7,>=0.6.8",
] ]
files = [ files = [
{file = "nonebot_plugin_alconna-0.54.1-py3-none-any.whl", hash = "sha256:4edb4b081cd64ce37717c7a92d31aadd2cf287a5a0adc2ac86ed82d9bcad5048"}, {file = "nonebot_plugin_alconna-0.57.0-py3-none-any.whl", hash = "sha256:6c4bcce1a9aa176244b4c011b19b1cea00269c4c6794cd4e90d8dd7990ec3ec9"},
{file = "nonebot_plugin_alconna-0.54.1.tar.gz", hash = "sha256:66fae03120b8eff25bb0027d65f149e399aa6f73c7585ebdd388d1904cecdeee"}, {file = "nonebot_plugin_alconna-0.57.0.tar.gz", hash = "sha256:7a9a4bf373f3f6836611dbde1a0917b84441a534dd6f2b20dae3ba6fff142858"},
] ]
[[package]] [[package]]

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@ -10,7 +10,7 @@ authors = [
] ]
dependencies = [ dependencies = [
"nonebot2>=2.4.0", "nonebot2>=2.4.0",
"nonebot-plugin-alconna>=0.48.0", "nonebot-plugin-alconna>=0.57.0",
"nonebot-plugin-localstore>=0.7.1", "nonebot-plugin-localstore>=0.7.1",
"zhDatetime>=2.0.0", "zhDatetime>=2.0.0",
"aiohttp>=3.9", "aiohttp>=3.9",