Merge branch 'dev' of https://github.com/MoFox-Studio/MoFox_Bot into dev

src/chat/memory_system/memory_metadata_index.py

@@ -10,17 +10,7 @@ from src.common.logger import get_logger
 
 logger = get_logger(__name__)
 
-# 仅允许规范导入路径：from inkfox.memory import PyMetadataIndex
-try:  # pragma: no cover
-    from inkfox.memory import PyMetadataIndex as _RustIndex  # type: ignore
-    logger.debug("已从 inkfox.memory 成功导入 PyMetadataIndex")
-except Exception as ex:  # noqa: BLE001
-    # 不再做任何回退；强制要求正确的 Rust 模块子模块注册
-    raise RuntimeError(
-        "无法导入 inkfox.memory.PyMetadataIndex: %s\n"
-        "请确认: 1) 已在当前虚拟环境下执行 'maturin develop --release' 安装扩展; "
-        "2) 运行进程使用同一个 venv; 3) 没有旧的 'inkfox' 目录遮蔽 so/pyd; 4) Python 版本与编译匹配" % ex
-    ) from ex
+from inkfox.memory import PyMetadataIndex as _RustIndex  # type: ignore
 
 @dataclass
 class MemoryMetadataIndexEntry:

src/chat/memory_system/memory_system.py

@@ -1111,7 +1111,6 @@ class MemorySystem:
                 from src.chat.message_receive.chat_stream import get_chat_manager
 
                 chat_manager = get_chat_manager()
-                # ChatManager.get_stream 是异步方法，需要 await，否则会产生 "coroutine was never awaited" 警告
                 chat_stream = await chat_manager.get_stream(stream_id)
                 if chat_stream and hasattr(chat_stream, "context_manager"):
                     history_limit = self._determine_history_limit(context)

src/chat/planner_actions/action_manager.py

@@ -615,6 +615,7 @@ class ChatterActionManager:
         """禁用批量存储模式"""
         self._batch_storage_enabled = False
         self._current_chat_id = None
+        self._pending_actions = []  # 清空队列
         logger.debug("已禁用批量存储模式")
 
     def add_action_to_batch(self, action_name: str, action_data: dict, thinking_id: str = "",

src/chat/replyer/replyer_manager.py

@@ -9,6 +9,7 @@ class ReplyerManager:
     def __init__(self):
         self._repliers: dict[str, DefaultReplyer] = {}
 
+    async def get_replyer(
     async def get_replyer(
         self,
         chat_stream: ChatStream | None = None,
@@ -37,7 +38,6 @@ class ReplyerManager:
         target_stream = chat_stream
         if not target_stream:
             if chat_manager := get_chat_manager():
-                # get_stream 为异步，需要等待
                 target_stream = await chat_manager.get_stream(stream_id)
 
         if not target_stream:

src/plugin_system/apis/generator_api.py

@@ -9,17 +9,18 @@
 """
 
 import traceback
-from typing import Any
+from typing import TYPE_CHECKING, Any
 
 from rich.traceback import install
 
 from src.chat.message_receive.chat_stream import ChatStream
-from src.chat.replyer.default_generator import DefaultReplyer
-from src.chat.replyer.replyer_manager import replyer_manager
 from src.chat.utils.utils import process_llm_response
 from src.common.logger import get_logger
 from src.plugin_system.base.component_types import ActionInfo
 
+if TYPE_CHECKING:
+    from src.chat.replyer.default_generator import DefaultReplyer
+
 install(extra_lines=3)
 
 # 日志记录器
@@ -31,11 +32,12 @@ logger = get_logger("generator_api")
 # =============================================================================
 
 
+async def get_replyer(
 async def get_replyer(
     chat_stream: ChatStream | None = None,
     chat_id: str | None = None,
     request_type: str = "replyer",
-) -> DefaultReplyer | None:
+) -> Any | None:
     """获取回复器对象
 
     优先使用chat_stream，如果没有则使用chat_id直接查找。
@@ -56,6 +58,8 @@ async def get_replyer(
         raise ValueError("chat_stream 和 chat_id 不可均为空")
     try:
         logger.debug(f"[GeneratorAPI] 正在获取回复器，chat_id: {chat_id}, chat_stream: {'有' if chat_stream else '无'}")
+        # 动态导入避免循环依赖
+        from src.chat.replyer.replyer_manager import replyer_manager
         return await replyer_manager.get_replyer(
             chat_stream=chat_stream,
             chat_id=chat_id,

src/plugins/built_in/affinity_flow_chatter/plan_executor.py

@@ -441,7 +441,7 @@ class ChatterPlanExecutor:
             # 通过 chat_id 获取真实的 chat_stream 对象
             from src.plugin_system.apis.chat_api import get_chat_manager
             chat_manager = get_chat_manager()
-            chat_stream = chat_manager.get_stream(plan.chat_id)
+            chat_stream = await chat_manager.get_stream(plan.chat_id)
 
             if chat_stream:
                 # 调用 action_manager 的批量存储