Enhance trading workflow with new order flow management

- Added dingdanliu_nb_mflow for improved order processing
- Updated related scripts and configurations to support new functionality

2.数据下载与处理/ssquant_download/数据库读取_生产K线图.py

@@ -0,0 +1,65 @@
+from ssquant.SQDATA import TakeData
+from pyecharts import options as opts
+from pyecharts.charts import Kline, Bar, Grid
+import pandas as pd
+
+
+def plotK(data):
+    # 示例数据（您需要替换为您的实际数据）
+    kline_data = data[['open', 'close', 'low', 'high']].values.tolist()
+    dates = data.index.strftime('%Y-%m-%d %H:%M:%S').tolist()
+    symbol_data = data['symbol'].values.tolist()
+    # 标记 symbol 变化的位置
+    markline_data = []
+    for i in range(1, len(symbol_data)):
+        if symbol_data[i] != symbol_data[i-1]:
+            # 当前 symbol 与前一个不同时，添加红色竖线
+            markline_data.append(opts.MarkLineItem(x=dates[i], name=f'前一个合约{symbol_data[i-1]},当前合约{symbol_data[i]}'))
+
+
+    # 数据缩放组件配置
+    datazoom_slider = opts.DataZoomOpts(type_="slider", xaxis_index=[0, 1, 2, 3,4], range_start=50, range_end=100)
+    datazoom_inside = opts.DataZoomOpts(type_="inside", xaxis_index=[0, 1, 2, 3,4])
+
+    # 创建 K 线图
+    kline = (
+        Kline(init_opts=opts.InitOpts(width="100%", height="900px"))
+        .add_xaxis(dates)
+        .add_yaxis('K线图表', kline_data,markline_opts=opts.MarkLineOpts(data=markline_data, symbol='none', linestyle_opts=opts.LineStyleOpts(color="red")))#"ssss",
+        .set_global_opts(
+            datazoom_opts=[datazoom_slider, datazoom_inside],
+            toolbox_opts=opts.ToolboxOpts(is_show=True, pos_top="0%", pos_right="80%"),
+            legend_opts=opts.LegendOpts(pos_left='40%'),  # 调整图例位置到底部
+        )
+    )
+    kline.render('K线图.html')
+
+
+
+'''
+获取数据-
+品种:symbol,
+起始时间:start_date,
+结束时间:end_date(包含当天),
+周期kline_period:1M..5M..NM(分钟),1D(天),1W(周),1Y(月)
+复权adjust_type:0(不复权)1(后复权)
+'''
+
+# 请在下方输入你的俱乐部账号密码，username='俱乐部账号' password='密码'
+
+client = TakeData(username='1234@qq.com', password='123')
+data = client.get_data(
+    symbol='rb888',
+    start_date='2023-12-28',
+    end_date='2024-01-17',
+    kline_period='60M',
+    adjust_type=1
+)
+data.set_index("datetime", inplace=True)
+data.index = pd.to_datetime(data.index)
+print(data)
+#生产K线图表到脚本同目录下
+plotK(data)
+
+
+