feat: Enhance plugin configuration management and SDK integration

- Add support for configuration reload scopes in the plugin runtime.
- Implement validation for SDK plugins to ensure required lifecycle methods are overridden.
- Update the configuration update handling to include scope information.
- Introduce tests for expression auto-check task and NapCat adapter SDK integration.
- Refactor configuration management to support callbacks with variable arguments.
- Improve plugin loading and error handling for configuration updates.
- Ensure that plugins can manage their own configuration updates effectively.

pytests/common_test/test_expression_auto_check_task.py

@@ -0,0 +1,89 @@
+"""测试表达方式自动检查任务的数据库读取行为。"""
+
+from contextlib import contextmanager
+from typing import Generator
+
+import pytest
+from sqlalchemy.pool import StaticPool
+from sqlmodel import Session, SQLModel, create_engine
+
+from src.bw_learner.expression_auto_check_task import ExpressionAutoCheckTask
+from src.common.database.database_model import Expression
+
+
+@pytest.fixture(name="expression_auto_check_engine")
+def expression_auto_check_engine_fixture() -> Generator:
+    """创建用于表达方式自动检查任务测试的内存数据库引擎。
+
+    Yields:
+        Generator: 供测试使用的 SQLite 内存引擎。
+    """
+
+    engine = create_engine(
+        "sqlite://",
+        connect_args={"check_same_thread": False},
+        poolclass=StaticPool,
+    )
+    SQLModel.metadata.create_all(engine)
+    yield engine
+
+
+@pytest.mark.asyncio
+async def test_select_expressions_uses_read_only_session(
+    monkeypatch: pytest.MonkeyPatch,
+    expression_auto_check_engine,
+) -> None:
+    """选择表达方式时应使用只读会话，并在离开会话后安全读取 ORM 字段。"""
+
+    import src.bw_learner.expression_auto_check_task as expression_auto_check_task_module
+
+    with Session(expression_auto_check_engine) as session:
+        session.add(
+            Expression(
+                situation="表达情绪高涨或生理反应",
+                style="发送💦表情符号",
+                content_list='["表达情绪高涨或生理反应"]',
+                count=1,
+                session_id="session-a",
+                checked=False,
+                rejected=False,
+            )
+        )
+        session.commit()
+
+    auto_commit_calls: list[bool] = []
+
+    @contextmanager
+    def fake_get_db_session(auto_commit: bool = True) -> Generator[Session, None, None]:
+        """构造带自动提交语义的测试会话工厂。
+
+        Args:
+            auto_commit: 退出上下文时是否自动提交。
+
+        Yields:
+            Generator[Session, None, None]: SQLModel 会话对象。
+        """
+
+        auto_commit_calls.append(auto_commit)
+        session = Session(expression_auto_check_engine)
+        try:
+            yield session
+            if auto_commit:
+                session.commit()
+        except Exception:
+            session.rollback()
+            raise
+        finally:
+            session.close()
+
+    monkeypatch.setattr(expression_auto_check_task_module, "get_db_session", fake_get_db_session)
+    monkeypatch.setattr(expression_auto_check_task_module.random, "sample", lambda entries, _count: list(entries))
+
+    task = ExpressionAutoCheckTask()
+    expressions = await task._select_expressions(1)
+
+    assert auto_commit_calls == [False]
+    assert len(expressions) == 1
+    assert expressions[0].id is not None
+    assert expressions[0].situation == "表达情绪高涨或生理反应"
+    assert expressions[0].style == "发送💦表情符号"