feat: add unified WebSocket connection manager and routing

- Implemented UnifiedWebSocketManager for managing WebSocket connections, including subscription handling and message sending.
- Created unified WebSocket router to handle client messages, including authentication, subscription, and chat session management.
- Added support for logging and plugin progress subscriptions.
- Enhanced error handling and response structure for WebSocket operations.
This commit is contained in:
DrSmoothl
2026-04-02 22:08:52 +08:00
parent 7d0d429640
commit 1906890b67
28 changed files with 3845 additions and 1137 deletions

View File

@@ -1,25 +1,28 @@
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from rich.traceback import install
from sqlmodel import select
from typing import Any, Dict, List, Optional, Tuple
import asyncio
import hashlib
import heapq
import Levenshtein
import random
import re
from src.common.logger import get_logger
from rich.traceback import install
from sqlmodel import select
import Levenshtein
from src.common.data_models.image_data_model import MaiEmoji
from src.common.database.database_model import Images, ImageType
from src.common.database.database import get_db_session, get_db_session_manual
from src.common.utils.utils_image import ImageUtils
from src.prompt.prompt_manager import prompt_manager
from src.config.config import config_manager, global_config
from src.common.data_models.llm_service_data_models import LLMGenerationOptions, LLMImageOptions
from src.common.database.database import get_db_session, get_db_session_manual
from src.common.database.database_model import Images, ImageType
from src.common.logger import get_logger
from src.common.utils.utils_image import ImageUtils
from src.config.config import config_manager, global_config
from src.plugin_runtime.hook_schema_utils import build_object_schema
from src.plugin_runtime.host.hook_spec_registry import HookSpec, HookSpecRegistry
from src.prompt.prompt_manager import prompt_manager
from src.services.llm_service import LLMServiceClient
logger = get_logger("emoji")
@@ -33,6 +36,171 @@ EMOJI_REGISTERED_DIR = DATA_DIR / "emoji_registered" # 已注册的表情包注
MAX_EMOJI_FOR_PROMPT = 20 # 最大允许的表情包描述数量于图片替换的 prompt 中
def register_emoji_hook_specs(registry: HookSpecRegistry) -> List[HookSpec]:
"""注册表情包系统内置 Hook 规格。
Args:
registry: 目标 Hook 规格注册中心。
Returns:
List[HookSpec]: 实际注册的 Hook 规格列表。
"""
emoji_schema = {
"type": "object",
"description": "当前表情包的序列化信息,主要包含 file_hash、description、emotions 等字段。",
}
string_array_schema = {
"type": "array",
"items": {"type": "string"},
}
return registry.register_hook_specs(
[
HookSpec(
name="emoji.maisaka.before_select",
description="Maisaka 表情发送工具选择表情前触发,可改写情绪、上下文和采样参数,或中止本次选择。",
parameters_schema=build_object_schema(
{
"stream_id": {"type": "string", "description": "目标会话 ID。"},
"requested_emotion": {"type": "string", "description": "请求的目标情绪标签。"},
"reasoning": {"type": "string", "description": "本次发送表情的推理理由。"},
"context_texts": {
**string_array_schema,
"description": "最近聊天上下文文本列表。",
},
"sample_size": {"type": "integer", "description": "候选表情采样数量。"},
"abort_message": {
"type": "string",
"description": "当 Hook 主动中止时可附带的失败提示。",
},
},
required=["stream_id", "requested_emotion", "reasoning", "context_texts", "sample_size"],
),
default_timeout_ms=5000,
allow_abort=True,
allow_kwargs_mutation=True,
),
HookSpec(
name="emoji.maisaka.after_select",
description="Maisaka 已选出表情后触发,可替换选中的表情哈希、补充匹配情绪,或中止发送。",
parameters_schema=build_object_schema(
{
"stream_id": {"type": "string", "description": "目标会话 ID。"},
"requested_emotion": {"type": "string", "description": "请求的目标情绪标签。"},
"reasoning": {"type": "string", "description": "本次发送表情的推理理由。"},
"context_texts": {
**string_array_schema,
"description": "最近聊天上下文文本列表。",
},
"sample_size": {"type": "integer", "description": "候选表情采样数量。"},
"selected_emoji": emoji_schema,
"selected_emoji_hash": {"type": "string", "description": "选中的表情哈希。"},
"matched_emotion": {"type": "string", "description": "最终命中的情绪标签。"},
"abort_message": {
"type": "string",
"description": "当 Hook 主动中止时可附带的失败提示。",
},
},
required=[
"stream_id",
"requested_emotion",
"reasoning",
"context_texts",
"sample_size",
"matched_emotion",
],
),
default_timeout_ms=5000,
allow_abort=True,
allow_kwargs_mutation=True,
),
HookSpec(
name="emoji.register.after_build_description",
description="表情包描述生成并通过内容审查后触发,可改写描述文本或拒绝本次注册。",
parameters_schema=build_object_schema(
{
"emoji": emoji_schema,
"description": {"type": "string", "description": "当前生成出的表情包描述。"},
"image_format": {"type": "string", "description": "表情图片格式。"},
},
required=["emoji", "description", "image_format"],
),
default_timeout_ms=5000,
allow_abort=True,
allow_kwargs_mutation=True,
),
HookSpec(
name="emoji.register.after_build_emotion",
description="表情包情绪标签生成完成后触发,可改写标签列表或拒绝本次注册。",
parameters_schema=build_object_schema(
{
"emoji": emoji_schema,
"description": {"type": "string", "description": "当前表情包描述。"},
"emotions": {
**string_array_schema,
"description": "当前生成出的情绪标签列表。",
},
},
required=["emoji", "description", "emotions"],
),
default_timeout_ms=5000,
allow_abort=True,
allow_kwargs_mutation=True,
),
]
)
def _get_runtime_manager() -> Any:
"""获取插件运行时管理器。
Returns:
Any: 插件运行时管理器单例。
"""
from src.plugin_runtime.integration import get_plugin_runtime_manager
return get_plugin_runtime_manager()
def _serialize_emoji_for_hook(emoji: Optional[MaiEmoji]) -> Optional[Dict[str, Any]]:
"""将表情包对象序列化为 Hook 可传输载荷。
Args:
emoji: 待序列化的表情包对象。
Returns:
Optional[Dict[str, Any]]: 序列化后的字典;当表情为空时返回 ``None``。
"""
if emoji is None:
return None
return {
"file_hash": str(emoji.file_hash or "").strip(),
"file_name": emoji.file_name,
"full_path": str(emoji.full_path),
"description": emoji.description,
"emotions": [str(item).strip() for item in emoji.emotion if str(item).strip()],
"query_count": int(emoji.query_count),
}
def _normalize_string_list(raw_values: Any) -> List[str]:
"""将任意列表值规范化为字符串列表。
Args:
raw_values: 待规范化的原始值。
Returns:
List[str]: 去空白后的字符串列表。
"""
if not isinstance(raw_values, list):
return []
return [str(item).strip() for item in raw_values if str(item).strip()]
def _ensure_directories() -> None:
"""确保表情包相关目录存在"""
EMOJI_DIR.mkdir(parents=True, exist_ok=True)
@@ -642,6 +810,22 @@ class EmojiManager:
if "" in llm_response:
logger.warning(f"[表情包审查] 表情包内容不符合要求,拒绝注册: {target_emoji.file_name}")
return False, target_emoji
hook_result = await _get_runtime_manager().invoke_hook(
"emoji.register.after_build_description",
emoji=_serialize_emoji_for_hook(target_emoji),
description=description,
image_format=image_format,
)
if hook_result.aborted:
logger.info(f"[构建描述] 表情包描述被 Hook 中止注册: {target_emoji.file_name}")
return False, target_emoji
normalized_description = str(hook_result.kwargs.get("description", description) or "").strip()
if not normalized_description:
logger.warning(f"[构建描述] Hook 返回空描述,拒绝注册: {target_emoji.file_name}")
return False, target_emoji
description = normalized_description
target_emoji.description = description
logger.info(f"[构建描述] 成功为表情包构建描述: {target_emoji.description}")
return True, target_emoji
@@ -687,6 +871,23 @@ class EmojiManager:
elif len(emotions) > 2:
emotions = random.sample(emotions, 2)
hook_result = await _get_runtime_manager().invoke_hook(
"emoji.register.after_build_emotion",
emoji=_serialize_emoji_for_hook(target_emoji),
description=target_emoji.description,
emotions=list(emotions),
)
if hook_result.aborted:
logger.info(f"[构建情感标签] 表情包情感标签被 Hook 中止注册: {target_emoji.file_name}")
return False, target_emoji
raw_emotions = hook_result.kwargs.get("emotions")
if raw_emotions is not None:
emotions = _normalize_string_list(raw_emotions)
if not emotions:
logger.warning(f"[构建情感标签] Hook 返回空情绪标签,拒绝注册: {target_emoji.file_name}")
return False, target_emoji
logger.info(f"[构建情感标签] 成功为表情包构建情感标签: {','.join(emotions)}")
target_emoji.emotion = emotions
return True, target_emoji

View File

@@ -1,7 +1,7 @@
"""Maisaka 表情工具内置能力。"""
from dataclasses import dataclass, field
from typing import Sequence
from typing import Any, Optional, Sequence
import random
@@ -11,7 +11,7 @@ from src.common.logger import get_logger
from src.common.utils.utils_image import ImageUtils
from src.services import send_service
from .emoji_manager import emoji_manager, emoji_manager_emotion_judge_llm
from .emoji_manager import _serialize_emoji_for_hook, emoji_manager, emoji_manager_emotion_judge_llm
logger = get_logger("emoji_maisaka_tool")
@@ -29,6 +29,76 @@ class MaisakaEmojiSendResult:
matched_emotion: str = ""
def _get_runtime_manager() -> Any:
"""获取插件运行时管理器。
Returns:
Any: 插件运行时管理器单例。
"""
from src.plugin_runtime.integration import get_plugin_runtime_manager
return get_plugin_runtime_manager()
def _coerce_positive_int(value: Any, default: int) -> int:
"""将任意值安全转换为正整数。
Args:
value: 待转换的值。
default: 转换失败时使用的默认值。
Returns:
int: 规范化后的正整数。
"""
try:
normalized_value = int(value)
except (TypeError, ValueError):
return default
return normalized_value if normalized_value > 0 else default
def _normalize_context_texts(context_texts: Sequence[str] | None) -> list[str]:
"""清洗 Hook 和调用链传入的上下文文本列表。
Args:
context_texts: 原始上下文文本序列。
Returns:
list[str]: 过滤空白后的上下文文本列表。
"""
if not context_texts:
return []
return [str(item).strip() for item in context_texts if str(item).strip()]
def _resolve_selected_emoji(raw_value: Any) -> Optional[MaiEmoji]:
"""根据 Hook 返回值解析目标表情包对象。
Args:
raw_value: Hook 返回的 ``selected_emoji`` 或 ``selected_emoji_hash``。
Returns:
Optional[MaiEmoji]: 命中的表情包对象;未命中时返回 ``None``。
"""
raw_hash: str = ""
if isinstance(raw_value, dict):
raw_hash = str(raw_value.get("file_hash") or raw_value.get("hash") or "").strip()
elif isinstance(raw_value, str):
raw_hash = raw_value.strip()
if not raw_hash:
return None
for emoji in emoji_manager.emojis:
if emoji.file_hash == raw_hash:
return emoji
return None
def _normalize_emotions(emoji: MaiEmoji) -> list[str]:
"""提取并清洗单个表情的情绪标签。"""
@@ -129,16 +199,81 @@ async def send_emoji_for_maisaka(
) -> MaisakaEmojiSendResult:
"""为 Maisaka 选择并发送一个表情。"""
selected_emoji, matched_emotion = await select_emoji_for_maisaka(
requested_emotion=requested_emotion,
reasoning=reasoning,
context_texts=context_texts,
normalized_requested_emotion = requested_emotion.strip()
normalized_reasoning = reasoning.strip()
normalized_context_texts = _normalize_context_texts(context_texts)
sample_size = 30
before_select_result = await _get_runtime_manager().invoke_hook(
"emoji.maisaka.before_select",
stream_id=stream_id,
requested_emotion=normalized_requested_emotion,
reasoning=normalized_reasoning,
context_texts=list(normalized_context_texts),
sample_size=sample_size,
abort_message="表情选择已被 Hook 中止。",
)
if before_select_result.aborted:
abort_message = str(before_select_result.kwargs.get("abort_message") or "表情选择已被 Hook 中止。").strip()
return MaisakaEmojiSendResult(
success=False,
message=abort_message or "表情选择已被 Hook 中止。",
requested_emotion=normalized_requested_emotion,
)
before_select_kwargs = before_select_result.kwargs
normalized_requested_emotion = str(
before_select_kwargs.get("requested_emotion", normalized_requested_emotion) or ""
).strip()
normalized_reasoning = str(before_select_kwargs.get("reasoning", normalized_reasoning) or "").strip()
if isinstance(before_select_kwargs.get("context_texts"), list):
normalized_context_texts = _normalize_context_texts(before_select_kwargs.get("context_texts"))
sample_size = _coerce_positive_int(before_select_kwargs.get("sample_size"), sample_size)
selected_emoji, matched_emotion = await select_emoji_for_maisaka(
requested_emotion=normalized_requested_emotion,
reasoning=normalized_reasoning,
context_texts=normalized_context_texts,
sample_size=sample_size,
)
after_select_result = await _get_runtime_manager().invoke_hook(
"emoji.maisaka.after_select",
stream_id=stream_id,
requested_emotion=normalized_requested_emotion,
reasoning=normalized_reasoning,
context_texts=list(normalized_context_texts),
sample_size=sample_size,
selected_emoji=_serialize_emoji_for_hook(selected_emoji),
selected_emoji_hash=str(selected_emoji.file_hash or "").strip() if selected_emoji is not None else "",
matched_emotion=matched_emotion,
abort_message="表情发送已被 Hook 中止。",
)
if after_select_result.aborted:
abort_message = str(after_select_result.kwargs.get("abort_message") or "表情发送已被 Hook 中止。").strip()
return MaisakaEmojiSendResult(
success=False,
message=abort_message or "表情发送已被 Hook 中止。",
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)
after_select_kwargs = after_select_result.kwargs
normalized_requested_emotion = str(
after_select_kwargs.get("requested_emotion", normalized_requested_emotion) or ""
).strip()
matched_emotion = str(after_select_kwargs.get("matched_emotion", matched_emotion) or "").strip()
override_emoji = _resolve_selected_emoji(after_select_kwargs.get("selected_emoji_hash"))
if override_emoji is None:
override_emoji = _resolve_selected_emoji(after_select_kwargs.get("selected_emoji"))
if override_emoji is not None:
selected_emoji = override_emoji
if selected_emoji is None:
return MaisakaEmojiSendResult(
success=False,
message="当前表情包库中没有可用表情。",
requested_emotion=requested_emotion.strip(),
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)
try:
@@ -151,7 +286,7 @@ async def send_emoji_for_maisaka(
message=f"发送表情包失败:{exc}",
description=selected_emoji.description.strip(),
emotions=_normalize_emotions(selected_emoji),
requested_emotion=requested_emotion.strip(),
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)
@@ -169,7 +304,7 @@ async def send_emoji_for_maisaka(
message=f"发送表情包时发生异常:{exc}",
description=selected_emoji.description.strip(),
emotions=_normalize_emotions(selected_emoji),
requested_emotion=requested_emotion.strip(),
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)
@@ -181,7 +316,7 @@ async def send_emoji_for_maisaka(
message="发送表情包失败。",
description=description,
emotions=emotions,
requested_emotion=requested_emotion.strip(),
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)
@@ -197,6 +332,6 @@ async def send_emoji_for_maisaka(
emoji_base64=emoji_base64,
description=description,
emotions=emotions,
requested_emotion=requested_emotion.strip(),
requested_emotion=normalized_requested_emotion,
matched_emotion=matched_emotion,
)

View File

@@ -18,28 +18,29 @@ install(extra_lines=3)
logger = get_logger("sender")
# WebUI 聊天室的消息广播器(延迟导入避免循环依赖)
_webui_chat_broadcaster: Optional[Tuple[Any, Optional[str]]] = None
_webui_chat_broadcaster: Optional[Tuple[Any, Optional[str], Optional[str]]] = None
# 虚拟群 ID 前缀(与 chat_routes.py 保持一致)
VIRTUAL_GROUP_ID_PREFIX = "webui_virtual_group_"
# TODO: 重构完成后完成webui相关
def get_webui_chat_broadcaster() -> Tuple[Any, Optional[str]]:
def get_webui_chat_broadcaster() -> Tuple[Any, Optional[str], Optional[str]]:
"""获取 WebUI 聊天室广播器。
Returns:
Tuple[Any, Optional[str]]: ``(chat_manager, platform_name)`` 元组;
Tuple[Any, Optional[str], Optional[str]]: ``(chat_manager, platform_name, default_group_id)`` 元组;
若 WebUI 相关模块不可用,则元素会退化为 ``None``。
"""
global _webui_chat_broadcaster
if _webui_chat_broadcaster is None:
try:
from src.webui.routers.chat import WEBUI_CHAT_PLATFORM, chat_manager
from src.webui.routers.chat.service import WEBUI_CHAT_GROUP_ID
_webui_chat_broadcaster = (chat_manager, WEBUI_CHAT_PLATFORM)
_webui_chat_broadcaster = (chat_manager, WEBUI_CHAT_PLATFORM, WEBUI_CHAT_GROUP_ID)
except ImportError:
_webui_chat_broadcaster = (None, None)
_webui_chat_broadcaster = (None, None, None)
return _webui_chat_broadcaster
@@ -76,7 +77,7 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
try:
# 检查是否是 WebUI 平台的消息,或者是 WebUI 虚拟群的消息
chat_manager, webui_platform = get_webui_chat_broadcaster()
chat_manager, webui_platform, default_group_id = get_webui_chat_broadcaster()
is_webui_message = (platform == webui_platform) or is_webui_virtual_group(group_id)
if is_webui_message and chat_manager is not None:
@@ -97,8 +98,9 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
message_type = "rich"
segments = message_segments
await chat_manager.broadcast(
{
await chat_manager.broadcast_to_group(
group_id=group_id or default_group_id or "",
message={
"type": "bot_message",
"content": message.processed_plain_text,
"message_type": message_type,
@@ -110,7 +112,7 @@ async def _send_message(message: SessionMessage, show_log: bool = True) -> bool:
"avatar": None,
"is_bot": True,
},
}
},
)
# 注意:机器人消息会由 MessageStorage.store_message 自动保存到数据库