feat(data): 为数据同步添加事务支持和同步日志

- Storage/ThreadSafeStorage 添加事务支持（begin/commit/rollback）
- 新增 SyncLogManager 记录所有同步任务的执行状态
- 集成事务到 StockBasedSync、DateBasedSync、QuarterBasedSync
- 在 sync_all 和 sync_financial 调度中心添加日志记录
- 新增测试验证事务和日志功能

src/data/sync.py

@@ -55,6 +55,7 @@ import pandas as pd
 from src.data import api_wrappers  # noqa: F401
 from src.data.sync_registry import sync_registry
 from src.data.api_wrappers import sync_all_stocks
+from src.data.sync_logger import SyncLogManager
 
 
 def sync_all_data(
@@ -109,7 +110,7 @@ def sync_all_data(
         >>> result = sync_all_data(dry_run=True)
         >>>
         >>> # 只同步特定任务
-        >>> result = sync_all_data(selected=["trade_cal", "stock_basic"])
+        >>> result = sync_all_data(selected=['trade_cal', 'pro_bar'])
         >>>
         >>> # 查看所有可用任务
         >>> from src.data.sync_registry import sync_registry
@@ -117,13 +118,80 @@ def sync_all_data(
         >>> for t in tasks:
         ...     print(f"{t.name}: {t.display_name}")
     """
-    return sync_registry.sync_all(
-        force_full=force_full,
-        max_workers=max_workers,
-        dry_run=dry_run,
-        selected=selected,
+    # 记录调度中心开始
+    log_manager = SyncLogManager()
+    sync_mode = "full" if force_full else "incremental"
+    selected_str = ",".join(selected) if selected else "all"
+    log_manager.start_sync(
+        table_name="daily_data_batch",
+        sync_type=sync_mode,
+        metadata={
+            "selected": selected_str,
+            "dry_run": dry_run,
+            "max_workers": max_workers,
+        },
     )
 
+    try:
+        result = sync_registry.sync_all(
+            force_full=force_full,
+            max_workers=max_workers,
+            dry_run=dry_run,
+            selected=selected,
+        )
+
+        # 计算成功/失败数量
+        success_count = 0
+        failed_count = 0
+        total_records = 0
+        for task_name, task_result in result.items():
+            if isinstance(task_result, dict):
+                if task_result.get("status") == "error":
+                    failed_count += 1
+                else:
+                    success_count += 1
+                # 累加记录数（如果有）
+                if "rows" in task_result:
+                    total_records += task_result.get("rows", 0)
+            elif isinstance(task_result, pd.DataFrame):
+                success_count += 1
+                total_records += len(task_result)
+            else:
+                success_count += 1
+
+        # 记录完成日志
+        status = "partial" if failed_count > 0 else "success"
+        error_msg = f"Failed: {failed_count} tasks" if failed_count > 0 else None
+        log_manager.complete_sync(
+            table_name="daily_data_batch",
+            sync_type=sync_mode,
+            status=status,
+            records_inserted=total_records,
+            error_message=error_msg,
+            metadata={
+                "selected": selected_str,
+                "dry_run": dry_run,
+                "max_workers": max_workers,
+            },
+        )
+
+        return result
+
+    except Exception as e:
+        # 记录失败日志
+        log_manager.complete_sync(
+            table_name="daily_data_batch",
+            sync_type=sync_mode,
+            status="failed",
+            error_message=str(e),
+            metadata={
+                "selected": selected_str,
+                "dry_run": dry_run,
+                "max_workers": max_workers,
+            },
+        )
+        raise
+
 
 def list_sync_tasks() -> list[dict[str, Any]]:
     """列出所有已注册的同步任务。