在准备环境前提交次全部更改。

apps/etl/connectors/feiqiu/orchestration/scheduler.py

@@ -0,0 +1,90 @@
+# -*- coding: utf-8 -*-
+"""ETL 调度器（薄包装层）
+
+已弃用：请直接使用 TaskExecutor 和 FlowRunner。
+保留此类以兼容 GUI 层、run_update.py 等现有调用方。
+"""
+from __future__ import annotations
+
+import logging
+import warnings
+from typing import Any, Dict, List, Optional
+
+from api.client import APIClient
+from database.connection import DatabaseConnection
+from database.operations import DatabaseOperations
+from orchestration.cursor_manager import CursorManager
+from orchestration.run_tracker import RunTracker
+from orchestration.task_registry import default_registry
+from orchestration.task_executor import TaskExecutor
+from orchestration.flow_runner import FlowRunner
+
+
+# 保留模块级常量以兼容外部引用
+PIPELINE_LAYERS = FlowRunner.FLOW_LAYERS
+
+
+class ETLScheduler:
+    """调度器薄包装层（已弃用）。
+
+    内部委托 TaskExecutor 和 FlowRunner 执行。
+    保留公共接口以兼容现有调用方（run_update.py、GUI 等）。
+    """
+
+    def __init__(self, config, logger):
+        warnings.warn(
+            "ETLScheduler 已弃用，请直接使用 TaskExecutor 和 FlowRunner",
+            DeprecationWarning,
+            stacklevel=2,
+        )
+        self.config = config
+        self.logger = logger
+
+        # 创建资源（与原实现一致）
+        self.db_conn = DatabaseConnection(
+            dsn=config["db"]["dsn"],
+            session=config["db"].get("session"),
+            connect_timeout=config["db"].get("connect_timeout_sec"),
+        )
+        self.db_ops = DatabaseOperations(self.db_conn)
+        self.api_client = APIClient(
+            base_url=config["api"]["base_url"],
+            token=config["api"]["token"],
+            timeout=config["api"]["timeout_sec"],
+            retry_max=config["api"]["retries"]["max_attempts"],
+            headers_extra=config["api"].get("headers_extra"),
+        )
+
+        cursor_mgr = CursorManager(self.db_conn)
+        run_tracker = RunTracker(self.db_conn)
+        self.task_registry = default_registry
+
+        # 内部组件
+        self.task_executor = TaskExecutor(
+            config, self.db_ops, self.api_client,
+            cursor_mgr, run_tracker, self.task_registry, logger,
+        )
+        self.flow_runner = FlowRunner(
+            config, self.task_executor, self.task_registry,
+            self.db_conn, self.api_client, logger,
+        )
+
+    def run_tasks(self, task_codes=None) -> list:
+        """执行任务列表（委托 TaskExecutor）。"""
+        if not task_codes:
+            task_codes = self.config.get("run.tasks", [])
+        data_source = str(self.config.get("run.data_source", "hybrid") or "hybrid")
+        return self.task_executor.run_tasks(task_codes, data_source=data_source)
+
+    def run_flow_with_verification(self, **kwargs) -> dict:
+        """执行 Flow（委托 FlowRunner）。"""
+        # 从配置读取 data_source（如果调用方未传入）
+        if "data_source" not in kwargs:
+            kwargs["data_source"] = str(
+                self.config.get("run.data_source", "hybrid") or "hybrid"
+            )
+        return self.flow_runner.run(**kwargs)
+
+    def close(self):
+        """关闭数据库连接。"""
+        self.db_conn.close()